The Pentagon launched its Joint Artificial Intelligence Center in 2018 to strategically unify and accelerate AI applications across the nations defense and military enterprise. Insiders at the center have now spent about nine months executing that defense driven AI-support.

At an ACT-IAC forum in Washington Wednesday, Rachael Martin, the JAICs mission chief of Intelligent Business Automation Augmentation and Analytics, highlighted insiders early approach to automation and innovation.

Our mission is to transform the [Defense] business process through AI technologies, to improve efficiency and accuracybut really to do all those things so that we can improve our overall warfighter support, Martin said.

Within her specific mission area, Martin and the team explore and develop automated applications that support a range of efforts across the Pentagon, such as business administration, human capital management, acquisitions, finance and budget training, and beyond. Because the enterprise is vast, the center is selective in determining the projects and programs best fit to be taken under its wing.

For the JAIC, there are a couple of key principles that we want to go by, or that we're going to adhere to when we're looking at a project and whether we support it, Martin explained.

The first principle to be evaluated is mission impact. In this review, insiders pose questions like who cares? she said. They assess the user-base that would most benefit from the project and what the ultimate outcome would be across Defense if the JAIC opted to support it. Next, according to Martin, officials review data-readiness. In this light, insiders address factors like where the data to be used is storedand whether its actually prepped for AI, or more advanced analysis and modeling to run on top of it.

The third factor thats assessed is technology maturity. Martin said that contrary to what many seem to think, the JAIC is not a research organization but instead seeks to apply and accelerate their adoption of already-existing solutions across the department and where those improvements are needed most. Insiders are therefore not at all interested in spending heaps of time researching new, emerging AI and automation applications. Instead, they aim to identify what already exists and is ready to be deployed at this moment.

So that's a big one for us that we like to emphasize, Martin said.

The final assessment is whether the JAIC can identify Defense insiders who will actually use whatever they are set to build. When developing something new, Martin said insiders want to those itll eventually touch to weigh in on the development every step of the way.

We're not in the business of coming up with good ideas and then creating something and trying to hoist it on somebody else, Martin said. We really believe in a very user-centric approach.

More here:
How the Pentagon's JAIC Picks Its Artificial Intelligence-Driven Projects - Nextgov

"has led to the country's complex relationship with machines."

Oh, yes! That would be the relationship where these 'complex machines' tell people what to coz they'd be lost without them. They seem to actually believe Japan is the only country embracing AI. I can tell you for a fact Japan lags behind many countries in "The West" for its use of machines and AI. You only have to go to a city hall and watch all the ditherers running around looking for a piece of paper to get four or five red stamps on it to know Japan has not embraced or utilised a complex relationship with machines and AI.

Why is it always "The West"? I cannot think of a more derogatory or racist statement. I'm sure that Japanese wouldn't appreciate being represented as just Asians. Do they not understand that "the west" refers to Europe only and the term goes back 300 years? The US is east from Tokyo and Aus/NZ are south.

Read the original here:
While the West tends to see robots and artificial intelligence as a threat, Japan has a more philosophical view that has led to the country's complex...

The Secretary of State for Digital, Culture, Media and Sport visited the University today to hear how researchers are being trained to deploy artificial intelligence (AI) in the fight against cancer.

Baroness Nicky Morgan met PhD researchers involved increating the next generation of intelligent technology that will revolutionisehealthcare.

The University is one of 16 centres for doctoral training inAI funded by UKResearch and Innovation, the Government agency responsible forfostering research and development.

The focus of the doctoral training at Leedsis to develop researchers who can apply AIto medical diagnosisand care.

Scientists believe intelligent systems and data analyticswill result in quicker and more accurate diagnosis. Early detection is at theheart of the NHS planto transform cancer survival rates by 2028.

Baroness Morgan said: "Weare committed to being a world leader in artificial intelligence technology andthrough our investment in 16new Centres for Doctoral Training we arehelping train the next generation of researchers.

"It was inspirational to meet some of the leading experts from medicineand computer science working in the new centre at Leeds Universitytoday.They are doing fantastic work to diagnose cancer quicker whichcould save millions of lives."

Baroness Morgan spent time talking to the PhD researchers.

Professor Lisa Roberts, Deputy Vice-Chancellor: Research and Innovation with Baroness Nicky Morgan

Anna Linton is a neuroscientist accepted onto the firstcohort of the programme, which started in the autumn.

She said: The healthcare system can generate a vastquantity of information but sometimes it is assessed in isolation.

I am interested in researching AI systems that can analysemedical notes, the results of pathology tests and scans and identify patternsin that disparate information and make order of it, to give a unified pictureof a patients health status.

That information will help the GP or other healthcareprofessional make a more precise diagnosis.

Dr Emily Clarke is a hospital doctor specialising inhistopathology, the changes in tissue caused by disease. She is an associatemember of the doctoral training programme on a research scholarship from the Medical Research Council.

She wants to develop an AI system to improve the diagnosisof melanoma, a type of skin cancer whose incidence, according to CancerResearch UK, has more than doubled since the early 1990s. It has thefastest rising incidence of any cancer.

Melanoma is detected from the visual examination by ahistopathologist of tissue samples taken during a biopsy. But up to one in sixcases is initially misdiagnosed.

Dr Clarke said: I am hoping we can develop an automatedsystem that can help histopathologists identify melanoma. Diagnosing melanomacan be notoriously difficult so it is hoped that in the future AI may helpbuild a knowledge base of the types of cell changes that are suggestive ofmelanoma and provide a more accurate prediction of a patients prognosis."

Dr Emily Clarke discussing her research project

About 10 researchers will be recruited onto the training programmeeach year. When it is fully up and running, there will be 50 people studyingfor a PhD.

We cant be complacent. We need to ensure there are enough talented and creative people with the skills and knowledge to harness and develop this powerful technology.

Professor Lisa Roberts, Deputy Vice-Chancellor: Researchand Innovation, said: The research at Leeds will ensure the UK remains at theforefront of an important emerging technology that will shape healthcare forfuture generations.

There is little doubt that our researchers will becontribute to future academic and industrial breakthroughs in the field of AI,enabling industry in the UK to remain at the heart of innovation in AI.

David Hogg, Professor of Artificial Intelligence and Director of the Leeds Centre forDoctoral Training, said: The UK is a world leader in AI.

But we cant be complacent. We need to ensure there areenough talented and creative people with the skills and knowledge to harnessand develop this powerful technology.

The PhD researchers will be supervised by leading expertsin computer science and medicine from the University and Leeds TeachingHospitals NHS Trust. To harness thetechnology requires researchers with a strong understanding of medicine,biology and computing and we aim to give that to them.

The researchers joining the Leeds training programme come from a range ofbackgrounds: some are computer scientists and others are biologists orhealthcare professionals but all are able to think computationally and are able to express problems and solutions in a form that can be executed by a computer.

The programme is hosted bythe Leeds Institute for Data Analytics (LIDA), establishedwithUniversityinvestmenttosupport innovation in medical bioinformatics, funded by the MedicalResearch Council, andConsumer Data, funded by the Economic and Social Research Council.

LIDA has now grown to support aportfolio in excess of 45 million of research across the University, bringingtogether over 150 researchers and data scientists. It supports the Universityspartnership withthe Alan Turing Institute, the UKs national institute for data scienceand artificial intelligence.

The University has a strong track record in applyingdigital technologies to healthcare. In partnership with Leeds TeachingHospitals NHS Trust, it is bringing together nine hospitals, seven universitiesand medical technology companies to create a digital pathology network whichwill allow medical staff to collaborate remotely and to conduct AI research. This is known as the Northern Pathology Imaging Co-operative.

Leeds Teaching Hospitals NHS Trust is a leader in usingdigital pathology for cancer diagnosis.

Main photo shows some of the PhD researchers with - front, from left - Professor David Hogg, Director of the Leeds Centre for Doctoral Training, Baroness Nicky Morgan, Secretary of State for Digital, Media, Culture and Sport, and Professor Lisa Roberts, Deputy Vice-Chancellor: Research and Innovation.

Originally posted here:
Using artificial intelligence to speed up cancer detection - University of Leeds

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Abel Mocln, an archaeologist at the Centro Nacional de Investigacin sobre la Evolucin Humana (CENIEH), has led a study which combines Archaeology and Artificial Intelligence, published in the journalArchaeological and Anthropological Sciences, about the Navalmallo Rock Shelter site, situated in the locality of Pinilla de Valle in Madrid, which shows the activity by Neanderthal groups of breaking the bones of medium-sized animals such as deer, for subsequent consumption of the marrow within.

The particular feature of the study lies in its tremendous statistical potential. For the first time, Artificial Intelligence has been used to determine the agent responsible for breaking the bones at an archaeological site, with highly reliable results, which it will be possible to compare with other sites and experiments in the future.

Credit: CENIEH

We have managed to show that statistical tools based on Artificial Intelligence can be applied to studying the breaking of the fossil remains of animals which appear at sites, states Mocln.

In the work, it is not just this activity carried out by the Neanderthals which is emphasized, but also aspects of the methodology developed by the authors of the study. On this point, Mocln insists on the importance of Artificial Intelligence as this is undoubtedly the perfect line of work for the immediate future of Archaeology in general and Taphonomy in particular.

The largest Neanderthal settlement

The Navalmallo Rock Shelter, about 76,000 years old, offers one of the few large windows into Neanderthal behavior within the Iberian Meseta. With its area of over 300 m2, it may well be the largest Neanderthal camp known in the center of the Iberian Peninsula, and it has been possible to reveal different activities conducted by these hominins here, such as hunting large animals, the manufacture of stone tools and the systematic use of fire.

In this study, part of the Valle de los Neandertales project, which includes other locations in the archaeological site complex of Calvero de la Higuera, the collaborating researchers were Rosa Huguet, of the IPHES in Tarragona, Beln Mrquez and Csar Laplana, of the Museo Arqueolgico Regional in Madrid, as well as the three codirectors of the Pinilla del Valle project: Juan Luis Arsuaga, Enrique Baquedano and Alfredo Prez Gonzlez.

CENIEH

Header Image Abrigode Navalmallo Credit: CENIEH

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Artificial intelligence to study the behavior of Neanderthals - HeritageDaily

PUNE, India, Jan. 23, 2020 /PRNewswire/ -- The global artificial intelligent (AI) in retail market size is estimated to reach USD 23,426.3 million by 2026, exhibiting a CAGR of 33.7% during the forecast period. The ongoing shift by retailers from traditional retail experience to AI-driven business solutions is one of the crucial factors enabling the growth of the AI in retail market. According to an article published by Forbes, 83% believe AI is a strategic priority for their businesses today and 84% of respondents say AI will enable them to obtain or sustain a competitive advantage. The growing awareness about the advantages of AI in retail operations such as quality improvement, paced up decision making, strong operational agility and enhanced customer experience will boost the AI in retail market growth in the forthcoming years. In addition, exceptional benefits of AI-powered data analytics will further spur demand for AI in retail market in the foreseeable future.

According to the report, published by Fortune Business Insights in a report, titled "Artificial Intelligence (AI) in Retail MarketSize, Share & Industry Analysis, By Offering (Solutions, Services), By Function (Operations-Focused, Customer-Facing), By Technology (Computer Vision, Machine Learning, Natural Language Processing, and Others), and Regional Forecast, 2019-2026" the AI in retail market size was valued at USD 2,306.8 million in 2018. The report is aimed at delivering a comprehensive view of the AI in retail market dynamics, structure by identifying and providing information regarding the key market segments. It also focuses on an all-encompassing analysis of leading market players by financial position, product, product portfolio, price, growth strategies, and regional presence. It offers porter's analysis and SWOT analysis to record the question of shareholders and highlights the investment potential in the upcoming future. It also showcases different procedures and strategies of companies currently operating in the market. It further examines the components convincing market expansion, growth patterns, restricting factors and market strategies.

To gain more insights into the market with detailed table of content and figures, click here: https://www.fortunebusinessinsights.com/artificial-intelligence-ai-in-retail-market-101968

Disposition to AI-powered Chat Bots by Retailers Will Encourage Market Expansion

The growing inclination of retail brands for the deployment of AI-powered chatbots for customer engagement will augment healthy growth of the market in the forthcoming years. Retail brands are able to handle several queries simultaneously with the help of chatbots, without the need to employ a large workforce. The positive impact of artificial intelligence on customer relations and sales will spur demand for AI in retail. Furthermore, close-ended chatbots are configured to answer shopping-related questions, provide quick support and suggestions besides offering a better resolution to their problem. Customers are more likely to engage with AI-powered chatbots, which, in turns enhances customer loyalty. These factors combined will accelerate the AI in retail market share in the foreseeable future.

Emergence of Virtual Trial Rooms to Bolster Healthy Growth

The increasing popularity of virtual trial rooms and ongoing development across retail supply chains will aid the AI in retail market trend during the forecast period. For instance, virtual trial rooms enable buyers to try different dresses without actually having to wear them with the help of digital mirrors. Further, AI allows shoppers to experiment with their outfit by means of a touch-based interface. In addition, the launch of virtual rooms by major companies to create growth opportunities for the market. For instance, Fitiquette, a fashion Web site uses a ground-breaking technology that allows customers to try on outfits in a virtual 3D world based on the user's exact body dimensions. The trial room gives a 360-degree view of the fit and drape of a garment on the actual body dimensions of the consumer.

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Introduction of AI Integrated Products and Solutions to Foster Growth in Asia Pacific

North America was valued at USD 1,102.0 million and is expected to remain dominant during the forecast period. The rising deployment of AI-based solutions by retailers to improve the supply chain operations and product portfolio will contribute positively to the AI in retail market revenue. Asia Pacific is expected to grow rapidly during the forecast period owing to the launch of various AI integrated products and solutions. For instance, China is expected to be a world-leading AI center by 2030.

List of the Major Companies in the Global Artificial Intelligence (AI) in Retail Market include:

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Table of Content:

o Definition, By Segment

o Research Approach

o Sources

o Drivers, Restraints and Opportunities

o Emerging Trends

o Macro and Micro Economic Indicators

o Consolidated SWOT Analysis of Key Players

o Porter's Five Forces Analysis

o Key Findings / Summary

o Market Size Estimates and Forecasts

Continued..!!!

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Artificial Intelligence (AI) in Retail Market to Reach USD 23,426.3 Million by 2026; Rising Awareness About the Advantages of AI in Retail Operations...

Learning by doing is a great thing unless its costing you money, then it may not seem worth it. In the business world when new technologies come around it may be tempting to take a wait and see approach to them, watching your competitors successes and failures before taking the time to implement new technologies. Unfortunately when it comes to artificial intelligence (AI), the potential payoff is too big to ignore, and waiting to see how your competitors do implementing this technology could leave your business in the dust.

Taking the right steps toward implementing AI is crucial. Some companies know that they need to hire a data scientist but they dont know what they expect the person to do and they will try to hire someone with no framework or plan in place.

The first step toward integrating artificial intelligence into your business strategy is to take it seriously and make a plan for how it will work. Start with an end goal in mind and work your way back from there. Next, figure out exactly what AI application will help you achieve that goal. With that in mind, start a pilot program with a targeted goal, keeping in mind that it could take a year or more to see any results from such a program.

While going through the growing pains of implementing an enterprise-wide system of AI, it may seem as though this technology is a huge waste of time and money. Learning by doing is a valuable way to understand the ins and outs of any new technology, and even if your companys experiment fails you can still gain valuable insights from failures. These insights can help you find a better focus for your next artificial intelligence experiment.

Currently, fewer than a third of AI pilots progress past the exploratory state to be fully implemented. This does not mean failure, though, it simply means the hypothesis needs to be adjusted before the experiment is altered and started again from the beginning. As with any new technology, there are going to be growing pains and opportunities to learn more.

This can translate to many different outcomes. AI algorithms can be used to reduce waste and improve quality by removing unnecessary variables. It can help meet rising demand and cut variable costs through analysis. It can make adjustments and predict when the market will shift. Some examples from real businesses:

Today, more than 60% of business leaders urgently need to find and implement a strategy for using artificial intelligence in their businesses, but less than half of those actually have a plan. Learn more about implementing AI in your business below.

Read more:
Implementing Artificial Intelligence In Your Business (infographic) - Digital Information World

Neon, the artificial human prototype conceptualized by computer scientist and inventor Pranav Mistry, created waves recently. The President and CEO of Samsung's STAR Labs told ET in an exclusive interview that he created Neon because human beings are unable to connect with artificial intelligence (AI) assistants such as Apples Siri.

The Palanpur (Gujarat)-born Mistry, considered one of the best innovative minds in the world right now, said Neon will be a companion to the elderly and to those who are lonely and could even work as fashion models or news anchors. The 38-year-old also spoke about the dangers posed by AI,echoing Google parent Alphabet Incs chief Sundar Pichai who recently called upon governments to regulate AI. Edited Excerpts:

When you started thinking about Neon, what was the problem you were trying to solve?

Two years ago, when we started thinking about it (we wanted to) push the boundaries of science so that can the machine interfaces become just like humans. It solves a lot of problems and opens up a lot of opportunities that never existed before. A lot of businesses are coming to us (for Neon), from media companies, film and even the fashion industry.

Say, for example, if ICICI Bank has domain-specific knowledge, (and) they need to talk to customers in a particular way (then) think about a powerful front-end interface that can connect to any third-party services for B2B applications. When it comes to consumer applications, in the long run, we need to build something that doesn't exist someone who can have the human aspects, emotions...

As a science, this thing never existed. Tomorrow, it might solve healthcare problems, or education problems or the loneliness problem in the United Kingdom.

Initially, what could Neon be used for?

I was talking to the chairman of a big media company in (South) Korea. They say the major problem is breaking news at night since you need to wake up the whole crew. We're not here to replace the main news anchor, but how about (if) your favourite news anchor is on your phone and tells you hey, you missed yesterday's game. This is what happened. That personal connection is more important.

As a kid, I grew up with Mickey Mouse. These cartoon characters are not just in our movies, they are in our dreams. My daughter is sad when Princess Fiona is sad; the human connection is what keeps us attached as a human. And, that is the reason behind doing this.

So, it's like a face to AI assistants like Alexa or Siri?

Yes, AI doesnt have a face right now.No technology has that interface. Even when our soldiers are in the field, somebody needs to talk to them. Are they mentally healthy? You can put a questionnaire to them --On a scale of 0-6 how are you feeling?. Thats not the right interface in that situation. If someone could only to talk to them...

An old person...has an AI system to give him all the answers at his home, but what he is looking for is someone to talk to. Because, that's where the loneliness problem is coming in. If you notice all these problems of loneliness or autism...they are coming from countries that already have everything -- every single piece of technology -- they can watch any movie, but they still feel lonely... because current technology is not solving that problem. Because there is no human face to the technology... and that is why I am doing this. Star Labs is an independent future factory. No one decides what Star Labs does. It is fully backed by Samsung, but Samsung does not ask a single question.

Theoretical physicist and cosmologist, the late Stephen Hawking, had said that AI could be dangerous. Others, too, have echoed those thoughts. Are you concerned about what you are building?

Every technology, if you take even the smallest neon bulb right now, can be misused.Nuclear fusion is a threat to the world right now, but this is the same nuclear fusion that drives more than 50% of the worlds electricity. AI has its own problems, but why I feel even more comfortable about this is because if I don't do this thing right now, in two years time someone else will be talking about it...

I feel comfortable because...I understand what the ethical standards of this thing should be, because I am imagining and dreaming a better world, not just a richer world for a few. So many of my products, ideas like Sixth Sense were open source; when I did Galaxy Gear, it was nothing to do with money.

What are the checks and balances an AI ecosystem needs to have?

This phase of AI the understanding of it in the scientific world, technology world as well as the consumer world is very different. Core people who are actually behind this know where this technologys expertise ends. They know that AI has nothing to do with intelligence.

AI is a smart database system. If you do not show a machine 1,000 pictures of an elephant, it cannot recognise it. It doesnt even know what an elephant is. The limitations of the current approaches to AI end there, because nature doesnt work this way. My daughter can see a vague drawing and tell you that its an elephant, but an AI machine will not do the same because the approach is not the same.

But, we still need the tabs, both as a consumer community as well as the scientific and technology community. We need to put the boundaries of architecture on the design level, like science fiction movies, like in any robotics movie there used to be the three rules of robotics, such as robots will not hurt humans etc. Why this is important is because anything has potential to explode or to make the world better.

So, who puts in those rules?Thats what the world needs to decide -- the core thinkers of the world. And thats why I feel, if I dont do it (build Neon), someone else will do it. Thats why I feel much safer that what is going to go will go past me. I would love to have that conversation, not at the government level but at the community level that, can we ensure there are rules and everybody follows them.

Follow this link:
Human beings are unable to connect with artificial intelligence: Pranav Mistry - ETtech.com

Many companies have turned to artificial intelligence to lead job candidacy searches and cherry pick job applicants Welcome to the Wild West of Hiring. Pixabay

The new job search question to ask yourself: What if AI doesnt like me?

This is the obstacle now faced by college graduates hoping to land their first dream job. Yes, the human resources departments at companies are steering further away from humans and embracing artificial intelligence in their job candidacy searches.

SEE ALSO: Can Artificial Intelligence Determine If You Have a Toxic Workplace?

So now, job seekers, its all about winning the algorithm game.

According to CNN, career counselors at bigwig schools, such as Duke University, Purdue University and the University of North Carolina at Charlotte, are priming students on what companies use AIand how to outfox the algorithms.

Gone are such job interview preparations as mentioned in thisold-timey video from the archaic days of 2010.

Companies looking to fill internships and entry-level positions aresteering more toward using platforms, such as HireVue, to help conduct a vast number of interviews via video that are analyzed by AI.HireVue, whose headquarters is in Salt Lake City, is used by over 800 companies including CNN, Hilton and Unilever. (Thats up from 50 companies in 2018.)

CEO Kevin Parker told The Wall Street Journalthat the companys platform removes human biases from the job interview process. And he said that like its a good thing.

And this is becoming the new norm, in terms of job interview preparation: how to make a good job interview video.

Well interview probably a million college kids this year, Parker told CNN.

You can see the appeal for a company to use the HireVue platform. The candidates simply answer a set of predetermined questions via their laptop or smartphone camera. And then, the videos are run through the algorithm ringernoting such details as facial expressions (captured by facial analysis software), voice tonality, word usage and grammar. (Sorry, foreign job candidates and those with botox.)

The applicants performance is then compared to actual company employees and then a score is given. The analysis is said to determine which candidates would make a good team member (who also happen to have good facial expressions and voice tonality).

The job applicant rejects, on the other hand, will have their videos posted immediately on YouTube for the world to mock. (This part isnt true, I repeat, not truebut you never know what the future holds.)

Do you foresee any problems with AI breaking down job candidates into a series of ones and zeros? Gone from this equation is personal interactions, a sense of soul and actually looking someone directly in the eye.

Now that companies are turning to AI to be the job hiring gatekeeper, does artificial intelligence have the capacity to determine humor, irony and, in general, the heart and kindness of a person? The same type of questions were asked when we dove into whether or not artificial intelligence could determine if you have a toxic workplace.

Heres more on the nuts and bolts of how AI cherry picks job applicants, which has been called the Wild West of hiring.

So not only do we have to worry about robots stealing our jobs, but we also have to worry about a machine not hiring us.

Whats next in our present job quest dystopia? Will job applicants also have to take the VK test from Blade Runner?

HireVue believes its platform can be helpful for ushering a massive number of people through the interview process quickly and reviewing them in a fair, consistent way. The big fear is that AI has the potential to replace humans doing the same job. (In this case, its humans doing human resource manager jobs.) In the medical field, using AI makes sense for things, such as scanning for breast cancer. Its becoming a tool to assist real-life doctors by giving an analytical second opinion. Therefore, it complements the professionand saves lives.

But in this case, in which AI is the job gatekeeper, it simply allows companies to throw as many plates of job seeker spaghetti against the wall with no added effort. All it really does is waste the time of the optimistic job applicants. No time is wasted by the company to allow a million job seeking monkeys to send out a million job seeking application videosin hopes that one algorithm will produce the entire works of Shakespeareand be hired.

Basically, these entry-level, intern-seeking graduates are the guinea pigs for an AI-produced workforce of tomorrow. What flaws will we find in this system and what future lawsuits will arise?

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Job Search 2020: AI Is the New Gatekeeper to Your Dream Career - Observer

While Google and other technology giants have their own dynamics to keep the most detailed and up-to-date maps possible, it is an expensive and time-consuming process. And in some areas, the data is limited.

To improve this, researchers at MIT and Qatar Computing Research Institute (QCRI) have developed a new machine-learning model based on satellite images that could significantly improve digital maps for GPS navigation. The system, called RoadTagger, recognizes the types of roads and the number of lanes in satellite images, even in spite of trees or buildings that obscure the view. In the future, the system should recognize even more details, such as bike paths and parking spaces.

RoadTagger relies on a novel combination of a convolutional neural network (CNN) and a graph neural network (GNN) to automatically predict the number of lanes and road types (residential or highway) behind obstructions.

Simply put, this model is fed only raw data and automatically produces output without human intervention. Following this dynamic, you can predict, for example, the type of road or if there are several lanes behind a grove, according to the analyzed characteristics of the satellite images.

The researcher team has already tested RoadTagger using real data, covering an area of 688 square kilometers of maps of 20 U.S. cities, and achieved 93% accuracy in the detection of road types and 77% in the number of lanes.

Maintaining this degree of accuracy on digital maps would not only save time and avoid many headaches for drivers but could also prevent accidents. And of course, it would be vital information in case of emergency or disasters.

The researchers now want to further improve the system and also record additional properties, including bike paths, parking bays, and the road surface after all, it makes a difference for drivers whether a former gravel track is now paved somewhere in the hinterland.

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Artificial intelligence to update digital maps and improve GPS navigation - Inceptive Mind

Google CEO Sundar Pichaiis calling for governments around the world to regulate artificial intelligence, saying the sensitive technology should not be used to "support mass surveillance or violate human rights."

However, Pichai the top executive at Google as well as its parent company Alphabet also argued that governments should not go too far as they work to rein in high-stakes technologies like facial recognition and self-driving vehicles.

His speech inEurope and companion op-edcome as Europe weighs newethics rules for artificial intelligence and the White House urges a light-touch approach to regulating technology.

"There is no question in my mind that artificial intelligence needs to be regulated," Pichai wrote in theFinancial Times. "It is too important not to. The only question is how to approach it."

Since 2018 Google has touted its AI principles as a potential framework for government regulation. The guidelines urge tech companies to ensure artificial intelligence technologies incorporateprivacy features, contribute to the greater social good and do not reflect "unfair" human biases.

Critics have pushed back onthe tech industry's stated support for AI regulation,claiming the companies are trying to dictate the terms of regulation in their own favor.

"Sensible regulation must also take a proportionate approach, balancing potential harms, especially in high-risk areas, with social opportunities," Pichai wrote.

Governments around the world have found themselves behind the curve as artificial intelligence advances at lightning speed, opening up new frontiers for potential regulation. Several cities in the U.S. have taken the lead by imposing all-out bans on facial recognition technology,which oftenmisidentifies people of color at higher rates.

Pichai has thrown his support behind a temporary ban onfacial recognition technology, which he says can be used for "nefarious" purposes.

"I think it is important that governments and regulations tackle it sooner rather than later and give a framework for it, Pichai said at a conference in Brussels this week.It can be immediate, but maybe theres a waiting period before we really think about how its being used. ... Its up to governments to chart the course.

Microsoft has also released its own ideas around how to regulatefacial recognition tech, and says it abides by a strict set of AI ethics standards.

In 2018, Pichai spent his speech in Davos, Switzerland, toutingthe enormous potential of artificial intelligence, presenting a rosier view of the technologybefore it experienced an intense backlash over the past several years.

Now, as Europe and the U.S. creep closer to instituting rules around many of the products that Google creates, Pichai is raising his voice around what he sees as the best approach to AI.

"Googles role starts with recognizing the need for a principled and regulated approach to applying AI, but it doesnt end there," Pichai wrote. "We want to be a helpful and engaged partner to regulators as they grapple with the inevitable tensions and trade-offs. We offer our expertise, experience and tools as we navigate these issues together."

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Google CEO: 'Artificial intelligence needs to be regulated' | TheHill - The Hill