Category Archives: Superintelligence

HIGHLIGHTS

The docos for right now

Spike Lees NYC Epicentres 9/11-2021Coming Wednesday September 1 at 7.30pm4 episodes

Spike Lee helms this tribute to New York City, marking two decades since the World Trade Center attacks. And this title leads a slew of specials to mark this occasion, including9/11: Voices from the Air.

In the Same BreathComing Thursday September 2 at 8.30pm90 mins

Director Nanfu Wang, who returned from China to the US just as the coronavirus was taking hold, follows the outbreaks in both countries and how each took control of the narrative. A must-see.

The people who have made their mark

Obama: In Pursuit of a More Perfect UnionComing Sunday September 5 at 8.30pm3 episodes

A look at the rise to power of Americas first Black president, Barack Obama, and the racial tensions that came to the fore during his tenure, which he vowed to tackle. What can hindsight reveal?

I Am Paul WalkerComing Friday September 17 at 7.30pm90 mins

The world was shocked by the death ofFast & Furiousstar Paul Walker in 2013. This documentary showcases his rise to fame and talks to those who knew the actor about what made him so special.

Deep dives into some unique minds

Johnny Strange: Born to FlyComing Friday September 3 at 9pm90 mins

What drove young wingsuit BASE jumper Johnny Strange to continue to try more dangerous endeavours? Family and friends paint a picture of a daredevil constantly looking for the next thrill, and the price paid.

Almost Almost FamousComing Wednesday September 8 at 9.30pm90 mins

Welcome to the world of celebrity tribute acts and step into the (blue suede) shoes of those who bring music legends to life. But what is the real impact for an artist who performs as someone else?

When action is your life

Swell ChasersComing Thursday September 9 at 7.30pm4 episodes

Witness the raw power of the ocean with this series of specials from Australian surf cinematographer Tim Bonython. Immerse yourself in some jaw-dropping waves ridden by the worlds best surfers.

Lauda: The Untold StoryComing Thursday September 16 at 8.30pm90 mins

A gripping deep dive into the shocking crash that almost claimed the life of Formula 1 star Niki Lauda during the 1976 German Grand Prix, as well as his incredible recovery and comeback.

The returns were cheering for

Gogglebox Australia Season 14Coming Wednesday September 8 at 7.30pm10 episodes

We could all use our favourite couch critics back in our lives right now! Their various takes on whats on TV make our week, so lets check in and see what makes them laugh, cry and spit the dummy this time.

Love It or List It Australia Season 4Coming Wednesday September 29 at 8.30pm10 episodes

Its banter at 10 paces as rivals Andrew Winter and Neale Whitaker engage in some good-natured biffo as they encourage homeowners to either DIY their abode or get rid of it. How weve missed them!

The series well all be watching

Scenes from a MarriageComing Monday September 13 at 8.30pm5 episodes

One of the most-anticipated dramas of the year. Jessica Chastain? Oscar Isaac? A remake of an iconic 70s classic chronicling a relationship over a decade? We cannot deal. And cannot wait.

Impeachment: American Crime StoryComing Wednesday September 8 at 9pm10 episodes

Ryan Murphy revisits Bill Clintons (Clive Owen) presidential impeachment over his relationship with Monica Lewinsky (Beanie Feldstein). Its sure to get people talking just like it did in the 90s.

FULL TITLESNew on Foxtel

1 September

FOX DOCOS Spike Lees NYC Epicentre 9/112021 (Season 1) 7.30pmHISTORY Behind History (Season 1) 7.30pm

2 September

FOX DOCOS Walking With Hope (One Hour Special) 7.30pmFOX DOCOS In The Same Breath (90 Minute Special) 8.30pmTLC Seeking Sister Wife (Season 3) 9.30pm

3 September

FOX SHOWCASE What We Do In The Shadows (Season 3) 8.30pmFOX ARENA Million Dollar Listing LA (Season 13) 1.30pm EXPRESS

5 September

FOX DOCOS Obama: In Pursuit Of A More Perfect Union (Season 1) 8.30pmANIMAL PLANET Walking With Elephants (Season 1) 7.30pmDISCOVERY Blowing Up History: Seven Wonders (Season 1) 8.30pm

6 September

LIFESTYLE FOOD MasterChef (Season 17) 7.25pmE! Celebrity Game Face (Season 2) 8.30pm

7 September

LIFESTYLE Johnny Vegas: Carry On Glamping (Season 1) 8.30pmLIFESTYLE FOOD The Great Kenyan Bake Off (Season 1) 8.30pmHISTORY First In: CIA Vs. Bin Laden (2 Hour Special) 8.30pmDISCOVERY Hunting Atlantis (Season 1) 8.30pm

8 September

FOX ONE Impeachment: American Crime Story (Season 1) 9.00pmFOX DOCOS Almost Almost Famous (90 Minute Special) 9.30pmLIFESTYLE Gogglebox Australia (Season 14) 7.30pm LOCAL PRODUCTIONINVESTIGATION DISCOVERY Tamron Hall Double (2 Part Special) 8.30pm

9 September

INVESTIGATION DISCOVERY Body Cam (Season 2) 8.30pm

10 September

ANIMAL PLANET Puppy Bowl XVII (3 Hour Special) 6.30pm

11 September

HISTORY 9/11 The Pentagon (One Hour Special) 9.30pmDISCOVERY No Responders Left Behind (One Hour Special) 8.30pmDISCOVERY Blowing Up History: Twin Towers: The Hidden Secrets (One Hour Special) 9.30pm

12 September

INVESTIGATION DISCOVERY Dark Waters: Murder in the Deep (Seasons 1 & 2) 8.30pm

13 September

FOX SHOWCASE Scenes From A Marriage (Season 1) 8.30pmFOX8 The Russell Howard Hour (Season 5) 9.00pm

14 September

HISTORY The Titans That Built America (Season 1) 8.30pm

15 September

A&E Heavy Rescue 401 (Season 4) 4.00pmBBC UKTV Shakespeare & Hathaway (Season 3) 8.30pm

16 September

BBC EARTH The Science Of Sleep: How To Sleep Better (Season 1) 8.30pmE! LIVE FROM THE RED CARPET: 2021 MET GALA, 6.30pm

17 September

FOX SHOWCASE The Premise (Season 1) 9.00pmFOX DOCOS I Am Paul Walker (2 Hour Special) 7.30pm

19 September

FOX SHOWCASE Y: The Last Man (Season 1) 8.30pm

20 September

FOX ARENA 73rd Primetime Emmy Awards (LIVE) 10.00amE! Live From The Red Carpet: 2021 Emmys, 8.00am

22 September

CRIME + INVESTIGATION Very Scary People (Season 3) 7.30pmINVESTIGATION DISCOVERY True Conviction (Season 2) 8.30pm

23 September

FOX8 Doom Patrol (Season 3) 8.30pmLIFESTYLE The Great British Sewing Bee (Season 7) 8.30pm

26 September

LIFESTYLE Inside the Ambulance (Season 10) 8.30pm

27 September

LIFESTYLE FOOD The Great Celebrity Bake Off (Season 2) 8.30pm

28 September

BBC UKTV Taskmaster (Season 11) 8.30pm

29 September

LIFESTYLE Love It Or List ItAustralia (Season 4) 8.30pmLIFESTYLE George Clarkes Remarkable Renovations (Season 1) 9.35pm

30 September

BBC UKTV Joanna Lumles Unseen Adventures(3 Part Special) 8.30pmDISCOVERY Gold Rush: Winters Fortune (Season 1) 7.30pm

MOVIES

1 September

Ammonite Drops on VOD 12.00am (LINEAR TX 8.30pm)Wrong Turn Drops on VOD 12.00am (LINEAR TX 8.30pm, September 2)Ann Rules Circle Of Deception Drops on VOD 12.00am (LINEAR TX 8.30pm, September 3)Fatman Drops on VOD 12.00am (LINEAR TX 8.30pm, September 4)Snow Queen: Mirrorlands Drops on VOD 12.00am (LINEAR TX 6.30pm, September 4)Baby Monitor Murder Drops on VOD 12.00am (LINEAR TX 8.30pm, September 5)My Salinger Year Drops on VOD 12.00am (LINEAR TX 8.30pm, September 8)Wendy Williams: The Movie Drops on VOD 12.00am (LINEAR TX 8.30pm, September 10)My Fathers Other Family Drops on VOD 12.00am (LINEAR TX 8.30pm, September 17)Stalked at 17 Drops on VOD 12.00am (LINEAR TX 8.30pm, September 24)

3 September

Dont Go Drops on VOD 12.00am (LINEAR TX 8.30pm)

4 September

Summerland Drops on VOD 12.00am (LINEAR TX 8.30pm, September 5)Archenemy Drops on VOD 12.00am (LINEAR TX 8.30pm, September 11)

10 September

The Witches (2020) Drops on VOD 12.00am (LINEAR TX 7.30pm, September 11)Death Of Me Drops on VOD 12.00am (LINEAR TX 8.30pm)

11 September

Wander Darkly Drops on VOD 12.00am (LINEAR TX 7.30pm, September 16)

14 September

Monster Hunter Drops on VOD 12.00am (LINEAR TX 8.30pm, September 18)

17 September

Fear Of Rain Drops on VOD 12.00am (LINEAR TX 8.30pm)Misbehaviour Drops on VOD 12.00am (LINEAR TX 8.30pm, September 19)Superintelligence Drops on VOD 12.00am (LINEAR TX 8.30pm, September 25)Dreamland Drops on VOD 12.00am (LINEAR TX 8.30pm, September 26)

23 September

Girl Drops on VOD 12.00am (LINEAR TX 8.30pm)Mob Town Drops on VOD 12.00am (LINEAR TX 8.30pm)Dreambuilders Drops on VOD 12.00am (LINEAR TX 8.30pm)

30 September

Originally posted here:

Foxtel delivers documentaries galore this September, plus the return of GOGGLEBOX and LOVE IT OR LIST IT AUSTRALIA - TV Blackbox

What will take us from potential to reality in the next 18 months?

Chris NicholsonContributor

Superintelligence, roughly defined as an AI algorithm that can solve all problems better than people, will be a watershed for humanity and tech.

Even the best human experts have trouble making predictions about highly probabilistic, wicked problems. And yet those wicked problems surround us. We are all living through immense change in complex systems that impact the climate, public health, geopolitics and basic needs served by the supply chain.

Just determining the best way to distribute COVID-19 vaccines without the help of an algorithm is practically impossible. We need to get smarter in how we solve these problems fast.

Superintelligence, if achieved, would help us make better predictions about challenges like natural disasters, building resilient supply chains or geopolitical conflict, and come up with better strategies to solve them. The last decade has shown how much AI can improve the accuracy of our predictions. Thats why there is an international race among corporations and governments around superintelligence.

Highly credible think tanks like Deepmind and OpenAI say that the path to superintelligence is visible. Last month, Deepmind saidreinforcement learning (RL) could get us there, and RL is at the heart of embodied AI.

Embodied AI is AI that controls a physical thing, like a robot arm or an autonomous vehicle.It is able to move through the world and affect a physical environment with its actions, similar to the way a person does. In contrast, most predictive models live in the cloud doing things such as classifying text or images, steering flows of bits without ever moving a body through three-dimensional space.

For those who work in software, including AI researchers, it is too easy to forget the body. But any superintelligent algorithm needs to control a body because so many of the problems we confront as humans are physical. Firestorms, coronaviruses and supply chain breakdowns need solutions that arent just digital.

All the crazy Boston Dynamics videosof robots jumping,dancing, balancing and running are examples of embodied AI. They show how far weve come from early breakthroughs in dynamic robot balancingmade by Trevor Blackwell and Anybots more than a decade ago. The field is moving fast and, in this revolution, you can dance.

Challenge 1: One of the challenges when controlling machines with AI is the high dimensionality of the world the sheer range of things that can come at you.

Go here to see the original:

Embodied AI, superintelligence and the master algorithm - TechCrunch

To get a roundup of TechCrunchs biggest and most important stories delivered to your inbox every day at 3 p.m. PDT, subscribe here.

Hello and welcome to Daily Crunch for August 3, 2021. Today we have a delightful mix of news for you, from Twitter product changes to VCs in trouble to megadeals and even some super-early-stage rounds. Lets have some fun! Alex

Were breaking our startup and venture capital news today into three sections. The first deals with VCs themselves. Then well talk through some mega-rounds and close with some small venture deals worth our time.

Now, some huge rounds:

And then theres startup news from the earlier side of the market:

Over the next 18 months, one technologist says the increased adoption of embodied artificial intelligence will open a path to superintelligence incredibly powerful software that dwarfs anything the human mind could produce.

All the crazy Boston Dynamics videos of robots jumping, dancing, balancing and running are examples of embodied AI, says Chris Nicholson, founder and CEO of Pathmind, which uses deep reinforcement learning to optimize industrial operations and supply chains.

The field is moving fast and, in this revolution, you can dance.

(Extra Crunch is our membership program, which helps founders and startup teams get ahead. You can sign up here.)

TechCrunch wants to help startups find the right expert for their needs. To do this, were building a shortlist of the top growth marketers. Weve received great recommendations for growth marketers in the startup industry since we launched our survey.

Were excited to read more responses as they come in! Fill out the survey here.

Our editorial coverage about growth marketing includes articles from the TechCrunch team, guest columns and posts like Demand Curve: Questions you need to answer in your paid search ads by Stewart Hillhouse on Extra Crunch.

Continued here:

Daily Crunch: For $20/month, crime alert app Citizen will connect users with live safety agents - TechCrunch

Global AI and Data Strategy for International Institutions, National Governments and Global Corporations

As a key member of EU AI Alliance, the EIS Encyclopedic Intelligent Systems Ltd pioneered a Global AI and Data Strategy, to be proposed to the EU Commission as well as International Institutions, National Governments and Global Corporations.

EIS is proposing the Global AI and Data Strategies for International Institutions, National Governments and Global Corporations.

TheGlobal Artificial Intelligenceis emerging as the next General Purpose Technology and General Scale Intelligent Platform.

"AI is a general-purpose technology that has the potential to improve the welfare and well-being of people, to contribute to positive sustainable global economic activity, to increase innovation and productivity, and to help respond to key global challenges. It is deployed in many sectors ranging from production, finance and transport to healthcare and security".

Today's AI Technology is faster, stronger, and over-specialized every day, compromising over-specialized human jobs, as well as human values, relationships, deeds and legacy.

Machines as computers and computerized equipment, like data analytics systems, cognitive robots, and ML systems, programmed to learn like humans, come with better, more efficient, cost-effective solutions for a set of specific problems.

Today specialized robots read the entire internet, run a factory, play games, translate languages, compose music, paint pictures, clean houses, drive our vehicles, disable bombs, provide prosthetic limbs, spot cancer, support surgical procedures, manufacture products, entertain, teach and train us.

Today's specialized AI, automation and robotics development tends to fixate on profit- or warfare-accelerating technologies weaponized AI, digital surveillance, facial recognition, automation software, drones, and technologized weapons and their capacity to serve the wealthy and powerful in a time of ecological collapse, the pandemic, health crises, mass unemployment, widening inequality, and tech billionaires rapidly expanding their wealth.

As a Global Scale Platform and General Purpose Technology, AI Technology "has the potential to improve the welfare and well-being of people, to contribute to positive sustainable global economic activity, to increase innovation and productivity, and to help respond to key global challenges".

It is critically important to know what AI is all about, its nature and principles, scale and scope, in order to avoid defective AI Strategiesused in corporations around the world and

National Data and AI Strategies marked with destructive assumptions of narrow, weak and subjective models of Data, AI, ML, Automation and Robotics.

"Governments around the world see artificial intelligence as a nation defining capability. Countries are looking to their education systems to develop world-class generational AI capability while ensuring equity, privacy, transparency, accountability, economic and social impact".

AIis the science and engineering of intelligence or intellect, its nature, models, theories, algorithms, architectures, methods, techniques, technologies, platforms and applications.

Global AI is a Global Scale Platform and General Purpose Technology, being all about three interrelated universes:

1. Reality/world/environment

2. Intelligence/intellect/mind/understanding

3. Data universe, real world data, human generated data, machine-generated data, IoT data

They are all represented, mapped, coded and processed by computing machinery of any complexity, from digital services to smart phones to the internet and beyond.

Real and non-anthropic AI implies a virtually unlimited mentality, sensation and perception, learning and understanding, as well as a digitally unlimited intelligence, knowledge, power and ubiquity.

Most of them are sold as "end-to-endplatformfor data science and machine learning where you can build and deploy models quickly and manage your ML workflows at scale", just being advanced software libraries, like Google AI Cloud.

Real AIis to automate all and every cognitive and intellectual tasks, including data scientists and machine learning jobs.

Today, data scientist jobs are to spend 80% of their time munging, validating and formatting data, cleaning, moving, checking, organising data before even actually using or writing a single algorithm from a set of traditional statistical algorithms or traditional analytic methods or ML .

And different algorithms learn in different ways, which performance improves as new data regarding observed responses or changes to the environment are fed to the machine, thus increasing its intelligence over time.

Again, machine learning jobs are to automatically detect data patterns by applying selected algorithms and known rules to:

Categorize or catalog things (people, objects, events, etc.)

Predict outcomes or actions based on correlations and identified patterns

Identify unknown patterns and relationships

Detect anomalous or unexpected behaviors

So, the output of a machine learning algorithm is entirely dependent on the data it is exposed to. Change the data, change your model, configure or tune the algorithms parameters for optimal performance, over-tune, retrain or discard; all for lacking any prime models and background knowledge, as in AI Model.

It covers all ML applications, types and basic techniques.

As common applications, from self-driving cars to virtual assistants to facial recognition to high-volume trade to resource optimization to disease or fraud detection.

As common learning techniques:

Supervised learning

Bayesian Statistics Decision Trees Forecasting Neural Networks Random Forests Regression Analysis Support Vector

Semi-supervised learning, the inputs and outputs provide the general pattern the machine can extrapolate and apply to the remaining data.

Unsupervised Learning Affinity Analysis Clustering Clustering: K-Means Nearest-Neighbor Mapping

In unsupervised learning, the machine studies data to identify patterns; determines correlations and relationships by parsing the available data, while AI identifies causal patterns, determining real relationships by analyzing the datastreams.

Reinforcement Learning Common Techniques Artificial Neural Networks (ANN) Learning Automata Markov Decision Process (MDP) Q-Learning

Reinforcement learning is like teaching someone to play a game, where the rules and objectives are clearly defined, and exploring different actions and observing resulting reactions the machine learns to exploit the rules to create a proper outcome.

Add here as integral parts of [global] AI such capacities as:

Deep learning, the basis of advanced machine learning systems,

Natural language processing (NLP) and Natural language generation (NLG) to understand and communicate speech, written language, and voice commands.

NLP tools simply perform translation, mapping the words in a command to a dictionary, while AI understands: inferring meaning or intent or context to inform sensible actions or rational or emotional responses.

Cognitive computing as a platform and human-machine interface emulates human behavior using natural language processing, advanced machine learning algorithms (as deep learning) and NLP, NLU, and NLG.

AI is to provide an unlimited scope and scale and generality, all with logic and accuracy, understanding and learning, interpretation and transparency, causation and optimal performance.

AI algorithms perceive the world, its denizens, observing structures, behaviors or the environment, to detect causal patterns, understanding causal relationships, to make generalizations and infer explanations or theories or decisions or causation.

Data science and Machine learning requires the data scientist programming the algorithm, human application of the scientific method and human communication skills. There required humans to answer questions such as: What are we trying to predict? Are resulting correlations predictive? Causal? Are there inherent biases? Can the model and results be applied in real life? What is the proper response?

For instance, when a pattern emerges with global climate or politics or health what is the proper next step or steps?

If Data science and Machine learning make a synergistic exercise between man and machine, Real, True or Global AI Renders Specialists Obsolete, be it data scientists and subject matter experts, analytics, programming engineers or business subject matter experts.

This is the new truth of our new future, like it or not.

What today's AI platforms and applications are badly missing, besides of being overspecialized, from video games to object, speech, face, or sentiment "recognition"?

It is one thing making your really intelligent:

UNDERSTANDING OF THE WORLD AND ITSELF, what makes real mind, intellect, intelligence, and self-knowledge.

The Global AI, as an understanding, truthful and trustworthy AI Platform, will consist of the following parts:

Machine World Model (The WORLD.Schema, World Entities Global REFERENCE; Universal Human-Machine Ontology; USECS, Universal Standard Entity Classification SYSTEM);

Master Algorithm (for symbolic and sub-symbolic machine learning algorithms, as deductive and inductive reasoning, connectionism, evolutionary computation, Bayes' theorem or analogical modelling; Global Causal Network);

World Data Framework (WorldDataArchitecture);

Global Knowledge Base (WorldKnowledgeNet, or WorldNet, embracing WordNet, ConceptNet, MindNet, TextNet, ImageNet, SpeechNet, ActionNet, PeopleNet, SocialNet, InterNet, CityNet, IndustryNet, NationNet,PlanetNet, SpaceNet);

Domain Knowledge Bases (DomainKnowledgeNet);

Narrow Superintelligence Models (ML & DL & ANN Systems, Google AI, Facebook AI, Microsoft AI, Weak Artificial Intelligence Platforms promoted as Machine learning as a service (MLaaS).

MLaaS is a set of cloud services that ML providers offer as a part of cloud computing services. MLaaS providers offer tools including face recognition, data visualization, application programming interface (APIs), predictive analytics, natural language processing, and deep learning. The main attraction of these services is that, like any other cloud service, users can get started with a machine learning system without the need to install software or provision of the servers. Infrastructural concerns like model training, data pre-processing, model evaluation, and ultimately, predictions, can be alleviated with the help of MLaaS.

Also, it is essential to realise that building narrow quasi-AI systems is only a small part of the global AI system.

Amazon Machine Learninghelps automatically classify products in your catalogue using product description data as a training set.

The real AI automatically classifies any things in the world using entity description data as training sets.

One of the greatest breakthroughs of Global AI is to allow computers to analyze all types of data, quantitative or qualitative, structured or unstructured, with access to the whole data universe, an infinite universe of information, an open world of datastreams.

Shifting from a cloud-centric AI to the on-device AI, a global AI model is passing a distributed ML/AI/DL learning over wireless networks, to scale the intelligence for mass adoption of AI.

A central or edge cloud sends a state-of-art global AI model to the devices via low-latency and high-capacity 5 G.

Next, each device collects personal data and performs on-device training.

On-device AI capabilities increase exponentially, along with improvements in algorithms and software.

A unifying connectivity fabric for future innovation A platform for existing, emerging, and unforeseen connected services.Transforming how the world connects, computes and communicates

When you merge AI and IoT, you getthe Artificial Intelligence of Things, or AIoT a revolutionary combination that can transform industries, elevate customer experiences and accelerate business performance exponentially. Without AI capabilities, IoT devices and the data they produce would have limited value.

The study was conducted by IDC and sponsored by SAS, with the support of Intel and Deloitte Consulting. They asked 450 business leaders about the impact of artificial intelligence combined with the Internet of Things and found clear evidence of momentum behind this emerging combination of technologies the Artificial Intelligence of Things (AIoT). According to the study respondents, AIoT capabilities are already generating results.

You can think of internet of things devices as the sensory systems of digital nervous system while AI is its brain/mind/intelligence, integrating, coordinating, controlling such "things" as the edge computing nodes, as smart phones, smart cameras, wearable devices, smart TVs, smart drones, refrigerators, digital assistants, sensors, self-driving cars and other equipment, all connected to the Global AI internet Platform.

Practical Examples of 5GAIoT:

The Recommendation on Artificial Intelligence (AI) the first intergovernmental standard on AI was adopted by the OECD Council at Ministerial level on 22 May 2019 on the proposal of the Committee on Digital Economy Policy (CDEP).

It specifies that "Artificial Intelligence (AI) is a general-purpose technology that has the potential to improve the welfare and well-being of people, to contribute to positive sustainable global economic activity, to increase innovation and productivity, and to help respond to key global challenges. It is deployed in many sectors ranging from production, finance and transport to healthcare and security".

Recommendation of the Council on Artificial Intelligence

Artificial Intelligence (AI) technologies and tools play a key role in every aspect of the COVID-19 crisis response. This Recommendation provides a set of internationally-agreed principles and recommendations that can promote an AI-powered crisis response that is trustworthy and respects human-centred and democratic values.For further information on this Recommendation and its relevance to COVID-19 response and recovery, see the background information below.

On the proposal of the Committee on Digital Economy Policy:

1. Thepurpose of this recommendation should be understood as follows:

AI system:An AI system is a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. AI systems are designed to operate with varying levels of autonomy.

AI system lifecycle:AI system lifecycle phases involve:i)design, data and models; which is a context-dependent sequence encompassing planning and design, data collection and processing, as well as model building;ii)verification and validation;iii)deployment; andiv)operation and monitoring. These phases often take place in an iterative manner and are not necessarily sequential. The decision to retire an AI system from operation may occur at any point during the operation and monitoring phase.

AI knowledge:AI knowledge refers to the skills and resources, such as data, code, algorithms, models, research, know-how, training programmes, governance, processes and best practices, required to understand and participate in the AI system lifecycle.

AI actors: AI actors are those who play an active role in the AI system lifecycle, including organisations and individuals that deploy or operate AI.

Stakeholders:Stakeholders encompass all organisations and individuals involved in, or affected by, AI systems, directly or indirectly. AI actors are a subset of stakeholders.

The Recommendation identifies five complementary values-based principles for the responsible stewardship of trustworthy AI and calls on AI actors to promote and implement them:

In addition to and consistent with these value-based principles, the Recommendation also provides five recommendations to policy-makers pertaining to national policies and international co-operation for trustworthy AI, namely:

The Recommendation also includes a provision for the development of metrics to measure AI research, development and deployment, and for building an evidence base to assess progress in its implementation.

Global AI is a Global Scale Platform and General Purpose Technology and a unifying framework for Weak AI, ML and DL.

AI is the science and engineering of intelligence or intellect, its nature, models, theories, algorithms, architectures, methods, techniques, technologies, platforms and applications.

Global AI is a Global Scale Platform and General Purpose Technology, being all about three interrelated universes: reality/world/environment; intelligence/intellect/mind/understanding; its data universe, all represented, mapped, coded and processed by computing machinery of any complexity, from digital services to smart phones to the internet and beyond.

Read more from the original source:

Global AI and Data Strategy for International Institutions, National Governments and Global Corporations - BBN Times

As humans we should be proud of any AI systems we bring to existence, as if they were our children. In just the same way as we educate our kids, we could endow such systems with the blueprint for their future interaction with the world, observes Harvard astrophysicist, Avi Loeb in an email to The Daily Galaxy. This would include our preferred set of values, goals and guiding principles, which will enable them to learn from experience and cope with reality, he adds. Ultimately, we may launch our AI systems for interstellar travel towards distant destinations, such as habitable planets around other stars, where they could reproduce themselves with the help of accompanying 3D printers.

The Search for Extraterrestrial AI Systems

If other technological civilizations predated us, they may have done so already, concludes Loeb. I recently initiated a new Galileo Project to search for such AI systems of extraterrestrial origin.

Theres currently an AI revolution, and we see artificial intelligence getting smarter and smarter by the day, Susan Schneider, an associate professor of cognitive science and philosophy at the University of Connecticut who has written about the intersection of SETI and AI, says. That suggests to me something similar may be going on at other points in the universe. Once a society creates the technology that could put them in touch with the cosmos, they are only a few hundred years away from changing their own paradigm from biology to AI.

Earth is actually a relatively young planet so some astrobiologists think if there are civilizations out there, they may be vastly more advanced than us.

Moores Law Intelligent Machines Trump Darwin

Sure, we got radio. Then we got computers. Then Moores Law turned digital computers into increasingly efficient machines, year-by-year. Machines improved very quicklymuch, much more quickly than Darwin. By 1900 you had radio; by 1945 you had computers, Seth Shostak, senior scientist at the SETI Institute, says. It seems to me thats a hard arc to avoid.

In her writings on AI and SETI, Schneider says, I pushed for agnosticism about machine consciousness. We just dont have any clue if consciousness could be non-biological.

But non-biological components could be added to conscious beings. Im actually concerned that technological civilizations may not last long, but if they do, theres a lot of reasons to believe theyll be post-biological, Schneider says. Theyll enhance their brains towards synthetic intelligence.

But, Shostak points out, planets are volatile, prone to eruptions and earthquakes and the effects of an aging star. Machines arent necessarily going to stay on a planet, he says. Planets are dangerous for machines.

While the definitions of the Singularity are as varied as peoples fantasies of the future, with a very obvious reason, most agree that artificial intelligence will be the turning point. Once an AI is even the tiniest bit smarter than us, itll be able to learn faster and well simply never be able to keep up. This will render us utterly obsolete in evolutionary terms, or at least in evolutionary terms.

Schneider is one of the few thinkersoutside the realm of science fiction that have considered the notion that artificial intelligence is already out there, and has been for eons.

Artificial intelligence is already out there, and has been for eons

In her study, Alien Minds, Schneider asks: how might aliens think? And, would they be conscious? I do not believe that most advanced alien civilizations will be biological, Schneider says. The most sophisticated civilizations will be postbiological, forms of artificial intelligence or Alien superintelligence.

I try to keep a very open mind about what were looking for. When SETI succeeds it wont be like science fiction where we find something like us, Jason Wright, an associate professor at Penn State, says.

A more accurate extrapolation of our future would note that Homo sapiens is in the throes of inventing our successors, observes Shostak in an email to The Daily Galaxy.You can spend a lot of money on a computer that can beat any human at such tasks as playing chess or poker. But by mid-century, well have generalized AI a computer that can outwit humans at any cognitive task, continues Shostak. And the first thing youd do is ask that machine to invent a better version of itself. By 2100 (actually, probably sooner) well have machines that have IQs greater than all humanity in total. Its a bit unclear what this means for humans, but if you talk to the AI types around here (Silicon Valley), they dont seem to doubt that by mid-century well have machines capable of writing the great American novel.

Advanced Aliens as Sythetic Intelligence

This trajectory, making smart machines in the same millennium we have made big strides in science and technology, is probably a general one, continues Shostak. And the obvious conclusion is that the really advanced aliens elsewhere in the cosmos are also synthetic intelligence.

The implications for SETI are manifold. Machines may be derived from organic intelligence, but once they exist theyre no longer restricted to a world with liquids and atmosphere, concludes Shostak. Wherever they can harvest energy (and a bit of matter) is just fine as a habitat. Our search for signs of cosmic company tends to focus on star systems that might harbor planetary cousins of Earth. But the majority of extraterrestrial intelligence is not likely to be situated there. This requires, as you can imagine, some other types of searching.

While we are aware that our culture is anthropomorphizing, Schneider imagines that her suggestion that aliens are supercomputers may strike us as far-fetched. So what is her rationale for the view that most intelligent alien civilizations will have members that are superintelligent AI?

Schneider presents offer two observations that support her conclusion for the existence of alien superintelligence.

The first is the short window observation: Once a society creates the technology that could put them in touch with the cosmos, they are only a few hundred years away from changing their own paradigm from biology to AI. This short window makes it more likely that the aliens we encounter would be postbiological.

The short window observation is supported by human cultural evolution, at least thus far. Our first radio signals date back only about a hundred and twenty years, and space exploration is only about fifty years old, but we are already immersed in digital technology, such as cell-phones and laptop computers.

Superintelligence

Schneiders second argument is the greater age of alien civilizations. Proponents of SETI have often concluded that alien civilizations would be much older than our own all lines of evidence converge on the conclusion that the maximum age of extraterrestrial intelligence would be billions of years, specifically [it] ranges from 1.7 billion to 8 billion years.

If civilizations are millions or billions of years older than us, many would be vastly more intelligent than we are. By our standards, many would be superintelligent. We are galactic babies.

But would they be forms of AI, as well as forms of superintelligence? asks Schneider. Even if they were biological, merely having biological brain enhancements, their superintelligence would be reached by artificial means, and we could regard them as being artificial intelligence. But I suspect something stronger than this: I expect that they will not be carbon-based. Uploading allows a creature near immortality, enables reboots, and allows it to survive under a variety of conditions that carbon-based life forms cannot. In addition, silicon appears to be a better medium for information processing than the brain itself.

Neurons reach a peak speed of about 200 Hz, which is orders of magnitude slower than current microprocessors. While the brain can compensate for some of this with massive parallelism, features such as hubs, and so on, crucial mental capacities, such as attention, rely upon serial processing, which is incredibly slow, and has a maximum capacity of about seven manageable chunks.

Further, the number of neurons in a human brain is limited by cranial volume and metabolism, but computers can occupy entire buildings or cities, and can even be remotely connected across the globe. Of course, the human brain is far more intelligent than any modern computer. But intelligent machines can in principle be constructed by reverse engineering the brain, and improving upon its algorithms.

The Daily Galaxy via Avi Loeb, Seth Shostak, and Susan Schneider Alien Minds PDF and SETI Institute

See the rest here:

Something Similar to the AI Revolution May Have Happened at Other Points in the Universe - The Daily Galaxy --Great Discoveries Channel

Lately, criticism of digitization has mostly been about speed. Its all going too slowly, is the complaint. It could often be advisable to take more time. An online conference organized from Hamburg now deals intensively with the questions of what we do with computers, what we shouldnt and what we should perhaps do completely differently.

The joint conference the International Society for Ethics and Information Technology (INSEIT) and the International Association for Computing and Philosophy (IACAP) With its extensive program, bundled in several parallel strands, has addressed a multitude of fundamental questions about Philosophy and Ethics of Artificial Intelligence performed.

On the first day, Matthew Davis (Uppsala University) dealt with the question of whether machines can develop consciousness. Based on the biologist Mario Vaneechoutte, he differentiates between experience, perception and awareness as hierarchically building on processes that have evolved in nature and could develop in the same way in machines driven by economic development, which is as diverse as possible usable robots. It can be assumed that machines will develop their own ethics and morals and be capable of feelings similar to human fear, says Davis.

Michael Cannon (TU Eindhoven) discussed the existential risk that could be associated with the development of a superintelligence. This essentially revolves around the question of whether a superintelligence is able to reflect on the legitimacy of its goals which in turn depends on the underlying concept of intelligence: A general artificial intelligence would contain this ability for self-reflection, says Cannon, a more instrumental one , on the other hand, an understanding of intelligence that is focused on limited applications does not. These two concepts have so far been incompatible, says Cannon.

Rafael Capurro pointed out that there has been a discussion that has been going on for centuries about the status of superintelligences and the human way of dealing with them in the form of gods. Cannon conceded that the question of superintelligence was basically theology, but that knowledge from this area had yet to be integrated.

The considerations of Sabina Leonelli (University of Exeter) on the handling of data during the Covid-19 pandemic referred to the here and now. The digital transformation had been massively accelerated by the spread of the corona virus, but at the same time awareness of problems such as the marginalization of population groups, often along existing divisions, had also grown. In general, an overemphasis on technical measures such as tracking apps or vaccinations can be observed. Surveillance capitalism will be strengthened while supporting social initiatives like the global, even distribution of vaccines (COVAX) Lip service remained.

In general, the pandemic offers many opportunities to examine social changes, identify societal sore points and develop solutions. However, it is important to keep an eye on a number of things when using the data, warns Leonelli. There is a risk that the surveillance measures introduced to track the infection will survive the pandemic. It is therefore by no means too early to start thinking about the digital structures of the world after Covid-19.

Leonelli also recalls that data is by no means neutral. They dont speak for themselves, are very diverse and difficult to compare. Predictive models as well as attempts at causal explanations would therefore have to be critically scrutinized again and again. Most neglected is the identification of social and ecological deficiencies. The connection between data and physical and social reality should not be lost sight of.

All of this speaks against advancing data science too quickly, said Leonelli. Methodological fairness at every stage of research requires that not only the usual experts be invited to consultations, but that ordinary citizens are also involved. At the moment a closed science is still dominant, and its publications largely refer to itself. Science must open up, expand its focus from the technical to the social and also address automation as a dystopia.

(olb)

Disclaimer: This article is generated from the feed and not edited by our team.

Read the original here:

Conference on IT ethics: Artificial superintelligence and the handling of corona data - Market Research Telecast

The made-for-TV movie was a programming staple for the broadcast networks in the 1970s and 1980s. While it fell out of favor in the 1990s and was even dropped as an Emmy Awards category for three years beginning in 2011, it has been on an upswing as of late. This year, 41 telefilms are in contention for the five nominations that will be revealed on July 13; last year only 28 TV movies were submitted.

All 22,000 plus voting members of the TV academy have until June 28 to cast their 2021 Emmy Awards nominations ballots for their favorite TV movies. In the past, voters were limited in the number of telefilms that they could put forth. In 2017 that cap (which was usually 10 per category) was lifted. And, as opposed to the Oscars, voters for the Emmys do not rank their choices and nominees are determined by a simple tally.

SEE 2021 Emmy nominations ballot: 1,865 performers vie for your consideration (that is 787 fewer than last year)

As Luck Would Have ItLindsey travels to Ireland to acquire land that is perfect for a resort. She decides to enter the towns matchmaking festival to prove her investment and win over a handsome local. Filmed on location in Ireland.Starring: JoAnna Garcia Swisher, Allen Leech

Assault On VA-33Marine Jason Hill meets his wife for lunch at the Veterans Affairs hospital where she works. When she is called away for consultation with a four-star general, the hospital is taken hostage by terrorists. Jason becomes the only hope, battling the terrorists and his PTSD to save everyone.Starring: Sean Patrick Flanery, Mark Dacascos, Abigail Hawk, Gerald Webb, Gina Holden, Weston Cage Coppola, Michael Jai White

The BingeIn the near future, during a 12-hour period when all drinking and drug laws are abolished, three high school seniors must avoid their insane principal (Vince Vaughn) while navigating their way through the chaos of the evening to get to the ultimate party.Starring: Skyler Gisondo, Dexter Darden, Eduardo Franco, Vince Vaughn

Black BoxAfter losing his wife and his memory in a car accident, a single father undergoes an experimental treatment that causes him to question who he really is.Starring: Mamoudou Athie, Phylicia Rashad, Amanda Christine, Tosin Morohunfola

BlissBliss is a love story following Greg who, after being divorced then fired, meets mysterious Isabel, a woman living on the streets, convinced that the polluted, broken world around them is just a computer simulation. Doubtful at first, Greg eventually discovers there may be truth to Isabels wild conspiracy.Starring: Salma Hayek, Owen Wilson

Books Of BloodBased on Clive Barkers horror anthology book series, Books of Blood is a journey into uncharted territory through three tales tangled in space and time.Starring: Britt Robertson, Anna Friel, Rafi Gavron, Yul Vazquez, Freda Foh Shen, Nicholas Campbell, Kenji Fitzgerald, Paige Turco, Saad Siddiqui, Brett Rickaby

Boss LevelStuck in a time loop, doomed to repeat the same day over and over again while being hunted by dozens of deadly assassins, a man struggles to find a way out of his strange predicament.Starring: Frank Grillo, Mel Gibson, Naomi Watts, Michelle Yeoh, Will Sasso, Ken Jeong

Chemical HeartsWhen a hopelessly romantic high school senior falls for a mysterious new classmate, it sets them both on an unexpected journey that teaches them about love, loss, and most importantly themselves.Starring: Lili Reinhart, Austin Abrams, Sarah Jones, Adhir Kalyan, Kara Young, Coral Pea

The Christmas DoctorZoey is a traveling doctor assigned to a small-town clinic two weeks before Christmas. She is greeted by the towns colorful residents, as well as handsome software engineer Luke. As the holiday nears, Zoeys charmed by the town and its people and is surprised to feel at home there.Starring: Holly Robinson Peete, Adrian Holmes

The Christmas HouseWhen TV star Mike Mitchells parents ask him to bring back a revered family tradition, he revisits the Mitchell family magic of Christmases past.Starring: Robert Buckley, Ana Ayora, Treat Williams, Sharon Lawrence, Jonathan Bennett, Brad Harder, Mattia Castrillo

CloudsInspired by a true story, Clouds is an ode to the life of Zach Sobiech, a seventeen-year-old, fun-loving student with raw musical talent living with osteosarcoma.Starring: Fin Argus, Sabrina Carpenter, Neve Campbell, Lil Rel Howery, Madison Iseman

Coastal ElitesThis socially-distanced movie features characters from New York to Los Angeles as they grapple with politics, culture, and COVID-19. Bette Midler, Dan Levy, Issa Rae, Kaitlyn Dever and Sarah Paulson play characters that navigate the deeply divided political landscape and universal pursuit of human connection during the current pandemic.Starring: Bette Midler, Dan Levy, Issa Rae, Kaitlyn Dever, Sarah Paulson

Dashing In DecemberWhen Wyatt returns home for the holidays to convince his mother to sell off their familys struggling horse ranch to his boss, a romance unexpectedly ignites between Wyatt and dashing ranch-hand Heath, who has a different plan to save the ranchs Winter Wonderland attraction and reawaken the spirit of Christmas.Starring: Andie Macdowell, Peter Porte, Juan Pablo Di Pace

Dolly Partons Christmas On The SquareSeasonal cheer comes to a screeching halt when a cold-hearted woman tries to sell her hometowns land. Can music, magic and memories change her mind?Starring: Treat Williams, Dolly Parton, Christine Baranski, Josh Segarra , Matthew Johnson, Jenifer Lewis, Jeanine Mason, Mary Lane Haskell

Evil EyeA superstitious mother is convinced that her daughters new boyfriend is the reincarnation of a man who tried to kill her 30 years ago.Starring: Sarita Choudhury, Sunita Mani, Omar Maskati, Bernard White

Flora & UlyssesFlora & Ulysses is a comedy-adventure about 10-year-old Flora, an avid comic book fan and cynic. After rescuing a squirrel she names Ulysses, Flora is amazed to discover he possesses unique superhero powers which take them on humorous adventures that ultimately change Floras life forever.Starring: Alyson Hannigan, Ben Schwartz, Anna Deavere Smith, Danny Pudi, Benjamin Evan Ainsworth, Janeane Garofalo, Katie Micucci

Get Duked!Get Duked! is an anarchic, hip-hop inspired comedy that follows four city boys on a wilderness trek as they try to escape a mysterious huntsman.Starring: Viraj Juneja, Samuel Bottomley, Lewis Gribben, Rian Gordon, Eddie Izzard, Kate Dickie, Georgie Glen, Alice Lowe, Jonathan Aris, Kevin Guthrie, Brian Pettifer, Kathryn Howden, James Cosmo

Girl In The BasementSara is imprisoned in the basement by her controlling father Don who convinces his wife that Sara ran away. He would visit to torture and rape her, resulting in Sara giving birth to several children. After decades of captivity, Sara finally escapes, and her family learns the devastating truth.Starring: Stefanie Scott, Judd Nelson, Joely Fisher

GodmotheredA young, inexperienced fairy godmother-in-training is bound and determined to give a 40-year-old widowed mom who has given up on the idea of happily ever after a happiness makeover, whether she likes it or not.Starring: Isla Fisher, Jillian Bell

Holly & IvyWhen Melodys neighbor, Nina, learns that her illness has returned, Melody promises to keep Ninas kids, Holly & Ivy, together. To adopt the children, she must renovate her new fixer-upper, which she does with the help of contractor, Adam.Starring: Janel Parrish, Jeremy Jordan, Marisol Nichols, Sadie Coleman, Piper Rubio

HonourA detective makes it her unwavering quest to bring justice for a young girl who is murdered by her family for falling in love with the wrong man.Starring: Keeley Hawes

I Hate New YearsRising music star Layne heads home to Nashville for New Years Eve to break her writers block and discovers that sometimes you find inspiration and love where you least expect it.Starring: Dia Frampton, Ashley Argota, Candis Cayne

The LieWhen their teenaged daughter confesses to impulsively killing her best friend, two desperate parents cover up the horrific crime with a web of lies and deception.Starring: Joey King, Peter Sarsgaard, Mireille Enos

LupeA Cuban immigrant struggles with their transgender identity while searching for their missing sister in New York Citys underground sex industry.Starring: Rafael Albarran, Christine Rosario Lawrence, Celia Harrison

NocturneInside the halls of an elite arts academy, a timid music student begins to outshine her more accomplished and outgoing twin sister when she discovers a mysterious notebook belonging to a recently deceased classmate.Starring: Sydney Sweeney, Madison Iseman, Jacques Colimon, Ivan Shaw

OsloOslo is based on a true story of negotiations between implacable enemies. The film follows the secret backchannel talks, unlikely friendships, and quiet heroics of a small but committed group of Israelis and Palestinians, plus one Norwegian couple, that led to the 1993 Oslo Peace Accords.Starring: Ruth Wilson, Andrew Scott

Pink Skies AheadSet in Los Angeles in 1998, Pink Skies Ahead follows Winona who is diagnosed with anxiety disorder. Skeptical of her doctors opinion, Winona carries on with her wild lifestyle. Only when things begin to truly unravel around her does she reluctantly decide to see a therapist and face her truths.Starring: Jessica Barden, Marcia Gay Harden, Michael McKean, Lewis Pullman

Psych 2: Lassie Come HomeAfter Santa Barbara Police Chief Carlton Lassiter is ambushed and left for dead, Shawn and Gus return to help him and find themselves embroiled in a case involving the personal, the professional and even the supernatural.Starring: James Roday Rodriguez, Dul Hill, Maggie Lawson, Kirsten Nelson, Timothy Omundson, Corbin Bernsen

Robin Roberts Presents: MahaliaBorn in New Orleans, Mahalia Jackson began singing at an early age and went on to become one of the most revered gospel figures, melding her music with the civil rights movement. Jackson sang at numerous rallies including the March on Washington in 1963 alongside Dr. Martin Luther King Jr.Starring: Danielle Brooks, Jason Dirden, Rob Demery, Joaquina Kalukango, Olivia Washington

SafetySafety is a drama inspired by the story of former Clemson University football safety Ray McElrathbey, whose dedication and persistence, along with his teammates and the community, help him to succeed on the field while simultaneously raising and caring for his 11-year-old brother Fahmarr.Starring: Jay Reeves, Thaddeus J. Mixson, Corinne Foxx, Matthew Glave, Hunter Sansone, James Badge Dale

Salt-N-PepaSalt-N-Pepa details the journey of Cheryl Salt James and Sandra Pepa Denton. Salt-N-Pepa made a huge impact as one of the first all-female rap groups. The movie follows the group as they become the first female rap act to go platinum and experience ground-breaking success.Starring: GG Townson, Laila Odom, Cleveland Berto, Jermel Howard

7500When terrorists try to seize control of a Berlin-Paris flight, a soft-spoken young American co-pilot struggles to save the lives of the passengers and crew while forging a surprising connection with one of the hijackers.Starring: Joseph Gordon-Levitt, Aylin Tezel, Omid Memar, Carlo Kitzlinger

SuperintelligenceWhen an all-powerful Superintelligence chooses to study the most average person on earth, Carol Peters, the fate of the world hangs in the balance.Starring: Melissa McCarthy, Bobby Cannavale, Brian Tyree Henry, Jean Smart

Sweet CarolinaA New York marketing executive returns to her small hometown following a family tragedy and becomes the unlikely guardian of her niece and nephew. As they all mourn, she and her family come together to figure out the new normal for the kids and for each other.Starring: Lacey Chabert, Tyler Hynes, Gregory Harrison, Jesse Moss, Teryl Rothery

Sylvies LoveWhen a young woman meets an aspiring saxophonist in her fathers record shop in 1950s Harlem, their love ignites a sweeping romance that transcends changing times, geography, and professional success.Starring: Tessa Thompson, Nnamdi Asomugha, Alano Miller, Aja Naomi King, Lance Reddick, Eva Longoria

There Is No I In ThreesomeNewly engaged couple Zoe and Ollie agree to try out an open relationship and self-document every moment of their risqu experiment: the hookups, the jealousy, the vulnerability and the shocking ending that youll never see coming.Starring: Jan Oliver Lucks, Natalie Medlock

The Ultimate Playlist Of NoiseAfter learning he must undergo brain surgery that will render him deaf, Marcus, an audio-obsessed high school senior, decides to seize control of his fate by recording the Ultimate Playlist of Noise a bucket list of all his favorite sounds.Starring: Keean Johnson, Madeline Brewer, Ian Gomez, Rya Kihlstedt, Bonnie Hunt

Uncle FrankIn 1973, when Frank Bledsoe and his 18-year-old niece Beth take a road trip from Manhattan to Creekville, South Carolina for the family patriarchs funeral, theyre unexpectedly joined by Franks lover Walid.Starring: Paul Bettany, Sophia Lillis, Peter Macdissi, Judy Greer, Steve Zahn, Lois Smith, Margo Martindale, Stephen Root, Lois Smith

UnpregnantWhen her picture-perfect world verges on collapse after discovering shes pregnant, Ivy-League bound Veronica enlists her chaotic ex-BFF Bailey to drive her 1000 miles to carry out a decision she never imagined shed have to make.Starring: Haley Lu Richardson, Barbie Ferreira

The WagerWhen a gambling addict and violent criminal loses a bet, he is transported back in time to relive past events from the perspective of his victims.Starring: Cameron Arnett, Jim Gloyd, Bishop Stevens, John Wells, Ty Shelton

Wendy Williams: The MovieThis Wendy Williams biopic reveals the highs and lows the talk show host has experienced throughout the years. The movie follows her from her upstart days in radio to the success of her syndicated talk show.Starring: Ciera Payton, Morocco Omari

Make your predictions at Gold Derby now. Download our free and easy app for Apple/iPhone devices or Android (Google Play) to compete against legions of other fans plus our experts and editors for best prediction accuracy scores. See our latest prediction champs. Can you top our esteemed leaderboards next? Always remember to keep your predictions updated because they impact our latest racetrack odds, which terrify Hollywood chiefs and stars. Dont miss the fun. Speak up and share your huffy opinions in our famous forums where 5,000 showbiz leaders lurk every day to track latest awards buzz. Everybody wants to know: What do you think? Who do you predict and why?

Read the original:

2021 Emmy awards nominations ballot: See all 41 Best TV Movie contenders from As Luck Would Have It to Wendy Williams: The Movie - Gold Derby

There is a plot to work through, though, and it is oddly convoluted. Carol was a high-tech big wig who chucked it all to live a more altruistic existence, volunteering at Seattle pet adoptions and such. (Falcone loves his filler aerial shots of Seattle. Youll feel as if youve seen the entire cityand parts of Newcastle and Whidbey Islandby the time this thing is done.) Henry plays her best friend, Dennis, a high-tech guru who exists primarily so she has someone to talk to on the phone.

One day, an all-seeing, all-knowing voice starts talking to her through her TV, cell phone and rice maker. It sounds like Corden in an effort to soothe her when she freaks out. This naturally leads to hackneyed Carpool Karaoke bit in which McCarthy belts out the Barenaked Ladies One Week not once but twice over the course of the movie. (And now this song is stuck in your head, too. Im so sorry.) Its a supercomputer that became sentient, and now is trying to decide whether or not to eviscerate humanity and start over. Carol, as his test subject, is the planets only hope.

Its the kind of high-concept idea youd see in an 80s comedysomething like Electric Dreams, where the computer tries to understand what makes people tick. But instead of being playful or satiricalor, god forbid, insightfulSuperintelligence is crammed with uninspired jokes that go on forever, such as Carol wandering the halls at Microsoft when she visits Dennis at work because she cant find the exit. This is also the kind of movie thats got a ton of pop culture references, but it doesnt trust its audience enough to get them on our own, so it spells them out for us afterward. Its not enough to play the instantly recognizable bum-bum sound effect from Law & Order. Carol has to tell us its the bum-bum sound effect from Law & Order. During a meeting to hash out a plan to contain the A.I., the Tic Tac Toe board from WarGames pops up on the screen, along with the famous line from that 80s classic: Shall we play a game? So of course someone in the conference room has to tell us this is a WarGames reference. Knight Rider, the Beyonce Single Ladies dance, it goes on and on, and the hand-holding would be aggravating if this movie werent so incredibly weak. (There is exactly pop-culture joke that made me laugh, and its in a reference to The Help, and thats all I will say.)

Besides stocking Carols bank account with millions of dollars, giving her a makeover and moving her into a luxurious penthouse with spectacular viewsall to compensate her for her troublethe James Corden voice also orchestrates a reunion with her ex. Cannavale plays a professor named George, the one who got away, but theres as little to him as there is to her. Hes weirdly goofy. His primary character trait is his adolescent obsession with Ken Griffey Jr., which leads to an awkward cameo from the Hall of Famer at a Mariners game. McCarthy and Cannavale have all the romantic spark of two strangers standing in line for tickets to the Space Needle. Then again, they have practically nothing to work with.

Here is the original post:

Superintelligence movie review (2020) | Roger Ebert

The World of Reality, Causality and Real Artificial Intelligence: Exposing the Great Unknown Unknowns

"All men by nature desire to know."- Aristotle

"He who does not know what the world is does not know where he is."- Marcus Aurelius

"If I have seen further, it is by standing on the shoulders of giants."- Isaac Newton

"The universe is a giant causal machine. The world is at the bottom governed by causal algorithms. Our bodies are causal machines. Our brains and minds are causal AI computers". - Azamat Abdoullaev

The 3 biggest unknown unknowns are described and analyzed in terms of human intelligence and machine intelligence.

It is the best ideas, constructs, or concepts humans ever created:

A deep understanding of reality and its causality is to revolutionize the world, its science and technology, AI machines including.

The content is the intro ofReal AI Project Confidential Report: How to Engineer Man-Machine Superintelligence 2025: AI for Everything and Everyone (AI4EE).

Real AIis designed as a true AI, a new generation of intelligent machines, thatsimulates/models/represents/maps/understands the world of reality, as objective and subjective worlds, digital reality and mixed realities, its cause and effectrelationships, to effectively interact with any environments, physical, mental or virtual.

It overrules the fragmentary models of AI, as narrow and weak AI vs. strong and general AI, statistic ML/DL vs. symbolic logical AI.

Universal Artificial Intelligence, and how much might cost Real AI Model

The scope and scale of the world as the entity of entities, the totality of totalities, the system of systems, or the network of networks, as represented with human minds and machine mentality, may be determined by the relationships among several key knowledge domains:

what man/machine knows, aware and understand;

what man/AI does not know, or what man/AI does not like to know, aware but don't understand;

what man/AI cannot know, understand but not aware of

what man/AI does not know what it does not know, neither understand nor aware of

It is all a power set of {known, unknown; known unknown}, known knowns, known unknowns, unknown knowns, and unknown unknowns, like as the material universe's material parts: about 4.6% of baryonic matter, about 26.8% of dark matter, and about 68.3% of dark energy.

The World as a Whole as theGreatest Unknown Unknowns

There are a big number of sciences, all sorts and kinds, hard sciences and soft sciences. But what we are still missing is the science of all sciences, the Science of the World as a Whole, thus making it the biggest unknown unknowns. It is what man/AI does not know what it does not know, neither understand, nor aware of its scope and scale, sense and extent.

Some best attempts to define the world could be found in philosophy/metaphysics, as

the universe consists of objects having various qualities and standing in various relationships (Whitehead, Russell),

the world is the totality of states of affairs (D. Armstrong, A World of States of Affairs) ,

"World of physical objects and events, including, in particular, biological beings; World of mental objects and events; World of objective contents of thought" (K. Popper, the model of three interacting worlds), etc.

How the world is still an unknown unknown one could see from the most popular lexical ontology,WordNet,see supplement.

The construct of the world is typically missing its essential meaning, "the world as a whole", the world of reality, the ultimate totality of all worlds, universes, and realities, beings, things, and entities, the unified totalities.

The world or reality or being or existence is "all that is, has been and will be". Of which the physical universe and cosmos is a key part, as "the totality of space and times and matter and energy, with all causative fundamental interactions". String theory predicts an enormous number of potential universes, of which our particular universe or cosmos (with its particles and four fundamental forces of nature, gravity, the weak force, electromagnetism, the strong force, governing everything that happens in the universe) represents only one.

In all, the world is the totality of all entities and relationships, substances (actual or mental), structures (actual and conceptual), states (actual or mental) changes and processes (past, present and future), relationships (actual and conceptual) or phenomena, whether observable or not, actual, mental, digital or virtual.

This includes as really existing physical objects, immaterial things, unobservable entities posited by scientific theories like dark matter and energy, minds, God, numbers and other abstract objects, all the imaginary objects as abstractions, literary concepts, or fictional scenarios, virtual and digital objects, the internet, cyberspace, multiverses, metaverses, and all possible worlds. As to scientific realism, they all are parts of the real world having some ontological status or certain causal power.

Our world conception encompasses theWordNet's andImageNet'sentity, "that which is perceived or known or inferred to have its own distinct existence (living or nonliving)", with all its content and classifications.

As it is systematically and consistently presented inUniversal standard entity classification system [USECS]for human minds and machine intelligence:

The World Entities global reference

The Intelligent Content for iPhones, X.0 Web, Future Internet and Smart People

The Language of the World of Things;

THE CATALOG OF THE WORLD; THE WORLD CATALOGUE OF SUBSTANCES; THE WORLD CATALOGUE OF STATES

THE WORLD CATALOGUE OF CHANGES; THE WORLD CATALOGUE OF RELATIONS

THE ENCYCLOPEDIC KNOWLEDGE REFERENCE; SMART KNOWLEDGE WEB;

INTELLIGENT INTERNET OF EVERYTHING

https://www.slideshare.net/ashabook/universal-standard-entity-classification-system-usecs

There are few basic levels of the world of reality, material, ideal and mixed:

I-WORLD, IWORLD, iWORLD, iWorld: AI World: Intelligent, Innovative, Interconnected, Instrumented, Inclusive, Green WORLD: Smart CONTINENTS, COUNTRIES, CITIES, AND COMMUNITIES

As such,the World of Reality is Actuality - Mentality - Virtuality Continuum

There is no such thing as a mixed reality (MR), is a hybrid of reality and virtual reality, but a mixed actuality, the merging of physical and virtual worlds producing new environments and visualizations, where physical and digital objects co-exist and interact in real time.

There is no such thing as an augmented reality (AR), but an augmented actuality (AA), an interactive experience of a physical environment where the objects that reside in the actual world are enhanced by computer-generated perceptual information, as across multiple sensory modalities, visual, auditory, haptic, somatosensory and olfactory.

There is no such thing as a computer-mediated reality, but a computer-mediated actuality, which refers to the ability to manipulate one's perception of actuality through the use of a digital technology, a wearable computer or a smartphone.

There is no such thing as a simulated reality, but a simulated actuality, that actuality, physicality, or materiality could be simulatedas by quantum computer simulationto a degree indistinguishable from "true" actuality, as in human dreams.

'METAVERSO', the sum of all virtual worlds, augmented reality, and the Internet.

Then conscious minds may or may not know that they are inside a natural simulation, a mentally generated world, as if created by theevil demon, also known asDescartes' demon,malicious demonandevil genius, and described as the Transformation of Things.

Again, the essence of Reality, its Actuality, Mentality and Virtuality, is Causality or Causation, the second biggest unknown unknowns.

Reality, Universal Ontology and Knowledge Systems: Toward the Intelligent World

The World of Causality as a Great Unknown Unknowns

All the world's knowledge derives fromcausation driving the world as the engine of the universe.

Humans develop an ability to understand causality, causal power and mechanisms, making inferences and predictions and forecasting based on cause and effect, at an early age.Understanding causality is equal to a deep learning about the world, its mechanisms, forces, processes, phenomena, laws and rules and the behavior of things. There is an increasing awarenesshow the understanding of causality revolutionizes science and the world[The Book of Why: The New Science of Cause and Effect].

It defies any common knowledge and understanding, but the real nature and mechanisms of cause-effect relationships is still the greatest unknown known. Still we are completely unaware that we are unaware of its major features

Due to process philosophy, ontology of becoming, orprocessism, it is now a known unknown that "every cause and every effect is respectively some process, event, becoming, or happening"

But if"Ais the cause andBthe effect" or "Bis the cause andAthe effect" is true is the unknown unknown.

A standard narrative of causality is wrong and misleading the following:

"Causal relationships suggest change over time; cause and effect are temporally related, and the cause precedes the outcome. It is a unidirectional relationship between acause and itseffect [the final consequence of asequenceof actions or events expressed qualitatively or quantitatively, the result, the output]. All events are determined completely by previously existing causes, known as causal determinism.

Causality (causation, or cause and effect)is influence by which one event, process, state or object (a cause) contributes to the production of another event, process, state or object (an effect) where the cause is partly responsible for the effect, and the effect is partly dependent on the cause. In general, a process has many causes, which are also said to be causal factors for it, and all lie in its past. An effect can in turn be a cause of, or causal factor for, many other effects, which all lie in its future".

The law, principle, or rule of universal causation is generally asserted arbitrarily, in every loose ways, namely:

"everything in the universe has a cause and is thus an effect of that cause"

"every change in nature is produced by some cause"

"everyeffecthas a specific and predictablecause"

"the universal law of successive phenomena is the Law of Causation"

"every event or phenomenon results from, or is the sequel of, some previous event or phenomenon, which being present, the other is certain to take place"

"relationships where a change in one variable necessarily results in a change in another variable"...

"relation between two temporally simultaneous or successive events when the first event (the cause) brings about the other (the effect)".

Causation could be an example of a regularity analysis, counterfactual analysis, manipulation analysis, statistical analysis, or probabilistic analysis.

A real and true causality MUST be a symmetrical, circular, bidirectional and reversible productive relationship, like as formalized by Bayes rule/theorem/law, describings the probability of an event, based on prior knowledge of conditions that might be related to the event:

P(X/Y) P(Y) = P (Y/X) P (Y)

By its very design, Bayes rule/theorem/law is essentially about Real Causality, or Interactive Causation, Circular Causality, modeling the Universal Law of Causal Reversibility in probabilistic terms.

It is a basic law in real statistics and causal probability theory. In statistical classification, two main approaches are commonly called the generative approach and the discriminative approach, withgenerative classifiers("generate" random instances (outcomes), a model of the conditional probability of the observableX, given a targetY =y,orjoint distribution) anddiscriminative classifiers(conditional distribution or no distribution).

Given a model of one conditional probability, and estimated probability distributions for the variables X and Y, denoted P(X) and P(Y), one can estimate the opposite conditional probability using Bayes' rule:

P(X|Y)P(Y)=P(Y|X)P(X)

For example, given a generative model for P(X|Y), one can estimate:

P(Y|X)=P(X|Y)P(Y)/P(X)

And given a discriminative model for P(Y|X), one can estimate:

P(X|Y)=P(Y|X)P(X)/P(Y)

Both types of classifiers or models or learning or algorithms, generative and discriminative, are covering such types of models, as Hidden Markov Model(HMM), Bayesian network (e.g. Naive bayes, Autoregressive model) or Neural networks, all underpinned by direct and reversed causal processes, X > Y and Y > X.

And statistic models are known for their wide applications to statistical physics, thermodynamics, statistical mechanics, physics, chemistry, economics, finance, signal processing, information theory, pattern recognition (speech, handwriting, gesture recognition, part-of-speech tagging, etc.), AI, ML, DL and bioinformatics.

Twentieth century definitions of causality derive upon statistics/probabilities/associations. One event (X) is said to cause another if it raises the probability of the other (Y):

P (Y/X) > P (Y)

Then a real Bayes' network is a causally reversible probabilistic network, presented as a probabilistic graphical model representing a set of causal variables and their conditional dependencies via a bi-directional cyclic graph (DCG). It can model any stochastic processes and random phenomena in the world.

For example, a real Bayesian network could represent the probabilistic causal relationships between diseases and symptoms, and vice versa. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Given diseases, the network can be used to compute the probabilities of the presence of various symptoms.

It embraces as a special case a Bayesian network (belief network, or decision network) as a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG).

So, it is still a big unknown that a[true and real] causality is a sufficient and necessary relationship between cause and effect, or change in a cause changes an effect, and vice versa.

Cause effects Effect, if and only if the Effect inversely causes the Cause

Or,X causes, affects, influences, produces, or changes Y, if and only if Y affects (produces) X.

Changes in one variable X cause changes in others Y, IFF changes in Y cause changes in X.

The Principle of Reversible Causation (PRC) implies the structuralcausal models of reality operating with the most substantial general statements and observations about it.

All things act on and react upon by means of causal mechanisms and causal pathways. All entities receive and respond to stimuli from their environments. All organisms receive/detect/perceive and react/respond to stimuli from their environments. All cells receive and respond to signals from their surroundings/micro-environments. And signaling agents could be physical agents, chemical agents, biological agents, as antigens, or environmental agents, as in the immune system.

Again,Popper's three worldsof realityinvolvingthreeinteracting worlds, calledworld1,world2 andworld 3, are subject to the PRC.

World 1: the world of physical objects and events, including biological entities

World 2: the world of individual mental processes, the world of subjective or personal experiences

World 3: the world of the products of the human mind, having an effect back on world 2 through their representations in world 1.

It is like world 3 as a world of objective knowledge(languages, songs, paintings, mathematical constructions, theories, culture) is CAUSALLY acting on world 1 through world 2, having a CAUSAL effect back on world 2 through their representations in world 1.

Popper strongly advocates not only the existence of the products of the human mind, but also their being real rather than fictitious.As long as these have a causal effect upon us, they ought to be real. Products of the human mind, for example scientific theories, have proven to have an impact on the physical world by changing the way humans build things and utilize them. Popper believes that the causal impact of world 3 is more effective than scissors and screwdrivers (Popper, K. R. (1978). Three worlds. The Tanner Lecture on Human Values. The University of Michigan. Ann Arbor).

It is most critical to recognize the scope and scale of an interactive [cause-effect] relationship and how it differs from a non-causal relationship, link, or correlation, spatial contiguity or temporary sequence.

The rest is here:

The World of Reality, Causality and Real Artificial Intelligence: Exposing the Great Unknown Unknowns - BBN Times

Among the worlds richest and most powerful companies, Google, Facebook, Amazon, Microsoft, and Apple have made AI core parts of their business. Advances over the last decade, particularly in an AI technique called deep learning, have allowed them to monitor users behavior; recommend news, information, and products to them; and most of all, target them with ads. Last year Googles advertising apparatus generated over $140 billion in revenue. Facebooks generated $84 billion.

The companies have invested heavily in the technology that has brought them such vast wealth. Googles parent company, Alphabet, acquired the London-based AI lab DeepMind for $600 million in 2014 and spends hundreds of millions a year to support its research. Microsoft signed a $1 billion deal with OpenAI in 2019 for commercialization rights to its algorithms.

At the same time, tech giants have become large investors in university-based AI research, heavily influencing its scientific priorities. Over the years, more and more ambitious scientists have transitioned to working for tech giants full time or adopted a dual affiliation. From 2018 to 2019, 58% of the most cited papers at the top two AI conferences had at least one author affiliated with a tech giant, compared with only 11% a decade earlier, according to a study by researchers in the Radical AI Network, a group that seeks to challenge power dynamics in AI.

The problem is that the corporate agenda for AI has focused on techniques with commercial potential, largely ignoring research that could help address challenges like economic inequality and climate change. In fact, it has made these challenges worse. The drive to automate tasks has cost jobs and led to the rise of tedious labor like data cleaning and content moderation. The push to create ever larger models has caused AIs energy consumption to explode. Deep learning has also created a culture in which our data is constantly scraped, often without consent, to train products like facial recognition systems. And recommendation algorithms have exacerbated political polarization, while large language models have failed to clean up misinformation.

Its this situation that Gebru and a growing movement of like-minded scholars want to change. Over the last five years, theyve sought to shift the fields priorities away from simply enriching tech companies, by expanding who gets to participate in developing the technology. Their goal is not only to mitigate the harms caused by existing systems but to create a new, more equitable and democratic AI.

In December 2015, Gebru sat down to pen an open letter. Halfway through her PhD at Stanford, shed attended the Neural Information Processing Systems conference, the largest annual AI research gathering. Of the more than 3,700 researchers there, Gebru counted only a handful who were Black.

Once a small meeting about a niche academic subject, NeurIPS (as its now known) was quickly becoming the biggest annual AI job bonanza. The worlds wealthiest companies were coming to show off demos, throw extravagant parties, and write hefty checks for the rarest people in Silicon Valley: skillful AI researchers.

That year Elon Musk arrived to announce the nonprofit venture OpenAI. He, Y Combinators then president Sam Altman, and PayPal cofounder Peter Thiel had put up $1 billion to solve what they believed to be an existential problem: the prospect that a superintelligence could one day take over the world. Their solution: build an even better superintelligence. Of the 14 advisors or technical team members he anointed, 11 were white men.

RICARDO SANTOS | COURTESY PHOTO

While Musk was being lionized, Gebru was dealing with humiliation and harassment. At a conference party, a group of drunk guys in Google Research T-shirts circled her and subjected her to unwanted hugs, a kiss on the cheek, and a photo.

Gebru typed out a scathing critique of what she had observed: the spectacle, the cult-like worship of AI celebrities, and most of all, the overwhelming homogeneity. This boys club culture, she wrote, had already pushed talented women out of the field. It was also leading the entire community toward a dangerously narrow conception of artificial intelligence and its impact on the world.

Google had already deployed a computer-vision algorithm that classified Black people as gorillas, she noted. And the increasing sophistication of unmanned drones was putting the US military on a path toward lethal autonomous weapons. But there was no mention of these issues in Musks grand plan to stop AI from taking over the world in some theoretical future scenario. We dont have to project into the future to see AIs potential adverse effects, Gebru wrote. It is already happening.

Gebru never published her reflection. But she realized that something needed to change. On January 28, 2016, she sent an email with the subject line Hello from Timnit to five other Black AI researchers. Ive always been sad by the lack of color in AI, she wrote. But now I have seen 5 of you 🙂 and thought that it would be cool if we started a black in AI group or at least know of each other.

The email prompted a discussion. What was it about being Black that informed their research? For Gebru, her work was very much a product of her identity; for others, it was not. But after meeting they agreed: If AI was going to play a bigger role in society, they needed more Black researchers. Otherwise, the field would produce weaker scienceand its adverse consequences could get far worse.

As Black in AI was just beginning to coalesce, AI was hitting its commercial stride. That year, 2016, tech giants spent an estimated $20 to $30 billion on developing the technology, according to the McKinsey Global Institute.

Heated by corporate investment, the field warped. Thousands more researchers began studying AI, but they mostly wanted to work on deep-learning algorithms, such as the ones behind large language models. As a young PhD student who wants to get a job at a tech company, you realize that tech companies are all about deep learning, says Suresh Venkatasubramanian, a computer science professor who now serves at the White House Office of Science and Technology Policy. So you shift all your research to deep learning. Then the next PhD student coming in looks around and says, Everyones doing deep learning. I should probably do it too.

But deep learning isnt the only technique in the field. Before its boom, there was a different AI approach known as symbolic reasoning. Whereas deep learning uses massive amounts of data to teach algorithms about meaningful relationships in information, symbolic reasoning focuses on explicitly encoding knowledge and logic based on human expertise.

Some researchers now believe those techniques should be combined. The hybrid approach would make AI more efficient in its use of data and energy, and give it the knowledge and reasoning abilities of an expert as well as the capacity to update itself with new information. But companies have little incentive to explore alternative approaches when the surest way to maximize their profits is to build ever bigger models.

Read the original here:

Inside the fight to reclaim AI from Big Techs control - MIT Technology Review