Category Archives: Ai

Scientists know that the first signs of autism can appear in early childhood, but reliably predicting that at very young ages is difficult. A behavior questionnaire is a crapshoot at 12 months. However, artificial intelligence might just be the key to making an accurate call. University of North Carolina researchers have developed a deep learning algorithm that can predict autism in babies with a relatively high 81 percent accuracy and 88 percent sensitivity. The team trained the algorithm to recognize early hints of autism by feeding it brain scans and asking it to watch for three common factors: the brain's surface area, its volume and the child's gender (as boys are more likely to have autism). In tests, the AI could spot the telltale increase in surface area as early as 6 months, and a matching increase in volume as soon as 12 months -- it wasn't a surprise that most of these babies were formally diagnosed with autism at 2 years old.

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AI can predict autism through babies' brain scans - Engadget

"In the early days, we were all amused by the sheer novelty of A.I. Now with maturity, our users expect more concrete results with almost no errors. Our engineers have built arbitrage mechanisms that provide more confidence than any individual A.I. system could. Concretely, this means less work for our users but more work for the machines. That's ok, though, as the machines don't have to drive the kids back from school," said Karl Facredyn CEO of Orange Logic.

How it works:

Pass One: Detect The Content

The first pass of A.I. uses two separate machine learning instances. Each instance undergoes its own training and will interpret and produce results for an asset independently of the other machine.

Pass Two: Arbitrage Results

A third A.I. arbitrages the results from the first pass and only keeps the most accurate results of the two previous A.I.'s.

About Orange Logic

Established in 2000, Orange Logic initially operated as a software research company on a mission to innovate approaches in multiple fields including Digital Asset Management. Today, Orange Logic provides a premier Digital Asset Management solution CORTEX | DAM for any team, national or global, looking to efficiently manage and scale its digital media libraries.

To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/orange-logic-deploys-a-second-generation-of-machine-learning-ai-for-digital-asset-management-300410174.html

SOURCE Orange Logic

http://www.orangelogic.com

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Orange Logic Deploys a Second Generation of Machine Learning AI for Digital Asset Management - PR Newswire (press release)

The company announced that it is building the worlds largest artificial intelligence platform

At *.ai Intelligent Cloud, a conference hosted by Microsoft India in Bengaluru on Monday, the company said that Big Data, Cloud, and intelligence have changed the way machines compute services for human beings. It also announced that it was building the worlds largest artificial intelligence (AI) platform.

"Cognitive services will change IT applications in the future. Services can become intelligent with machine learning and we are providing APIs to startups for computer applications like vision, speech, language, knowledge and search," says Sandeep Alur, Microsoft Lead Evangelist.

The company also positioned itself as a champion of open source technologies, with over 16,000 contributions made on GitHub, an open source internet hosting service. Large corporate like Google are in the game too. They joined the .Net Foundation technical steering group, which was launched by Microsoft.

Microsoft, in return, joined the Linux Foundation. While this global exchange of knowledge is well-founded, today every one wants to know what AI is all about.

Analysts at Gartner tell YourStory that today most neural networks are still in the realm of machine learning, which means outcomes can be predictive. Computer science experts will say that AI comes with reasoning power, which means machines can fool you into believing they are human.

That said, several software engineers are going after building computers that can create predictive outcomes for services. Say, a machine can tell when a part could fail and will inform the customer about going to the dealership to replace the part. Let us also say you call a BPO and a chatbot using voice technologies, which will guide you through a query better than any human. Says Alur of Microsoft,

"Today, building a bot means maintaining several source codes. But we have created a framework for bots with one source code."

Research firm Markets&Markets says the AI market could be $16 billion by 2022.

Bot frameworks can change the way BPOs function and change their outcomes.

However, the point is that while all these frameworks make it easy with a lot application channels, saying that we are in the realm of AI is a wrong argument. However, the push that Microsoft offers, to go towards AI with machine learning, is something to watch out for.

Let's look at the numbers. If we look at all the system integrators, starting from Accenture to Infosys to TCS to Wipro, their revenues from platforms that offer AI or machine learning is less than 10 percent.

"Data is critical and we can build models that can become critical for predictive planning," says Anish Basu Roy, CEO of Shotang.

Several startups that YourStory spoke to believed that machine learning was today called AI. "Everything that is F of X is considered AI, when all we are building is an intelligent machine," said founders of a couple of startups who did not want to be named.

Representatives of the Indian startup ecosystem in the room were extremely robust. Over 200 of them were present and most of them were in the realm of data analytics, cognitive sciences and predictive maintenance. Somehow, the feeling was that they were here to witness Satya Nadella's talk with Nandan Nilekani.

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Microsoft India projects itself as open source champion, says AI is the next step - YourStory.com

Forbes

Equifax and SAS Leverage AI And Deep Learning To Improve ... Forbes Equifax has developed deep learning tools to improve credit scoring and SAS has added new deep learning functionality to its data mining tools and offers a ... Learn how AI works and save 50% with code Ends Friday [DEALS]Android Community all 6 news articles »

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Equifax and SAS Leverage AI And Deep Learning To Improve ... - Forbes

Forbes

When The Computer Is You: The Rise Of Proxy AI Forbes In 1945, Vannevar Bush published As We May Think. In it he proposed a Memex, a massive microfilm storage device where users could navigate between documents to concepts throughout the database. His concept directly inspired the invention of ...

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When The Computer Is You: The Rise Of Proxy AI - Forbes

NVIDIA's Accelerated Computing Platform To Power Japan's Fastest AI Supercomputer Forbes Tokyo Tech is in the process of building its next-generation TSUBAME supercomputer featuring NVIDIA GPU technology and the company's Accelerated Computing Platform. TSUBAME 3.0, as the system will be known, will ultimately be used in tandem with ... and more »

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NVIDIA's Accelerated Computing Platform To Power Japan's Fastest AI Supercomputer - Forbes

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If AI is rolled out to rapidly and irresponsibly its benefits could actually cause far reaching consequences for millions.

AI has been named as one of the most importantemerging trendsin business technology for 2017 in a report by Accenture, but are we ready for it?

The report, Technology Vision, is a yearly look atthe biggest trends in business for the coming year. The 2017 iteration has named AI as one of the principle changes that will shape the landscape in business for years to come.

AI itself has become increasingly more prevalent in the world and as we move closer towards self driving cars and responsive voice commands for our smart homes, its importance cannot be understated. The more integrated artificial intelligence becomes in our daily lives, the more businesses should strive to adopt it into their operations, though they should be mindful of its potential consequences.

Accenture believe thatAI has the potential to become a spokesperson for a business, even becoming more recognisable than the brand itself. As AI replaces interfaces and reshapes interactions with customers it will become a representative of businesses image as a whole.

Amazon Echo is a great example. Now used in more than 3 million homes, the Smart Speaker utilises an AI known as Alexa in an effort to streamline home living. The device is capable of enhancing customer experiences by giving access to weather and traffic reports as well as offering the ability to order much of Amazons listings just by talking to it.

Paul Daugherty, Accenture chief technology & innovation officer said: As technology transforms the way we work and live, it raises important societal challenges and creates new opportunities. Ultimately, people are in control of creating the changes that will affect our lives, and were optimistic that responsive and responsible leaders will ensure the positive impact of new technologies.

The Technology Vision Survey of over 5,000 IT and business executives revealed that over 79% believe that AI will help accelerate technology adoption, with a further 85% stating that they would be making extensive investments into the technology over the next three years.

Current examples of AI being utilised outside of consumer applications include the Rhizabot, an AI program which can translate complex business analysis questions, alleviating the need to create simplified and easily translatable phrases that may not be sufficient. In agriculture also, farmers have been using AI crop management tools that allow machines to learn how best to tend crops, whether through increased water and fertiliser supply or removing sprouts that will hinder the growth of others.

Accenture estimates that in 5 years customers will be less impressed with brands and place much more stock in how well the AI interface functions. In 7 years most interfaces will have moved beyond screens and become integrated into daily tasks, and in 10 years they predict that AI assistants will be so intertwined with day to day tasks that they will maintain constant productivity through outlets such as creating video summaries immediately aftermeetings.

However, this rapid integration and expansion of AI throughout the business world could have a serious domino effect. For instance, if certain positions can be phased out in favour of increasingly more advanced AI, it has the potential to create serious economic inequality. Because theAIrequires no compensation for its time, the potential profit for its service will be disseminated throughout a smaller number of people.

Recently, Bill Gates, founder of Microsoft, suggested that should robots supplant humans in the workplace they should be taxed as a human would.

In an interview with Quartz, Gates said:Right now, the human worker who does, say, $50,000 worth of work in a factory, that income is taxed and you get income tax, Social Security tax, all those things. If a robot comes in to do the same thing, youd think that wed tax the robot at a similar level.

The billionaire philanthropist believes that the income tax made from robots could be used to support social systems and train others in more skilled labour in response to growing automation.

As more and more tasks become automated it seems inevitable that an AI could eventually be used to replace a customer service line, or a call centre. Amazons Alexa is just one of many AIs that use continual physical interactions and cloud learning to improve its own speech patterns and usability constantly. During initial tests Alexas response time was three seconds, too long for a sufficient conversation, since then Amazon has managed to reduce that time to under 1.5 seconds.

Will we see rapid growth in unemployment if Artificial Intelligence is rolled out irresponsibly? If self driving technology can ever be applied to heavy goods vehicles it could very well put millions of truck drivers out of work worldwide.

Emma McGuigan at Accenture said that lorry drivers are a long way from being replaced, so that is not an immediate concern. She believes that AI will cause a disruption in the business world, but that disruption will be a net positive. Accenture introduced AI into its India business but rather than leave many unemployed it actually allowed 20,000 people to be redeployed to other tasks where a human touch is necessary,

She said: I dont think the pace of AI will affect work, I think it will actually increase it.

For many the concept of integrated Artificial Intelligence seems to be a question of when and not if, so as the business world moves forward its important to ensurethat this technology is implemented in a safe and secure way that maximises benefit for businesses, employee, and consumer alike.

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Is AI the new spokesperson for your business? - Computer Business ... - Computer Business Review

Lets pretend you care, very much, about winning a game. The competition heats up, your oppositions closing in, and youre at risking of losing. What do you do? If your competitive streak is alive and well, then you get aggressive. Forget decorum, focus on the prize, and shove your opponent out of the way to claim your victory.

Turns out, Googles DeepMind artificial intelligence does much the same. The more intelligent the AI network is, the quicker it is to get aggressive in competitive situations where such aggression will pay off. The behavior raises questions about the link between intelligence and aggression, what it means for AI to mimic human-like emotional responses, and, if youre worried about potential robotic overlords, what we need to do to keep AI aggression in check.

In a study published online (but not yet in a peer-reviewed journal), Deep Mind researchers had AI agents compete against each other in 40 million rounds of a fruit-gathering computer game. In the game, each agent had to collect as many apples as possible. They also could temporarily knock an opponent out of the game by hitting them with a laser beam. Heres a video of the game:

When apples were abundant, the two agents were happy to collect their fruit without targeting each other. But in more scarce scenarios with fewer apples around, the agents became more aggressive. The researchers also found that the greater the cognitive capacity of the agent, the more frequently they attacked their opponent. This makes sense, as in this scenario attacking an opponent is more complex behavior and so requires greater intelligence.

However, the AI also learned to display cooperative behavior when that brought a benefit. In a second game, two agents acted as wolves while a third was the prey. If the two wolf agents worked together to catch their prey, they received a higher reward. When the two wolves capture the prey together, they can better protect the carcass from scavengers and hence receive a higher reward, the researchers explained in their paper. In this game, the more intelligent agents were less competitive and more likely to cooperate with each other.

The DeepMind researchers believe that as their studies of how AI agents compete become more complex, they could be used to better understand how humans learn to collaborate en masse. This model also shows that some aspects of human-like behavior emerge as a product of the environment and learning, lead author Joel Weibo told Wired. Say you want to know what the impact on traffic patterns would be if you installed a traffic light at a specific intersection. You could try out the experiment in the model first and get a reasonable idea of how an agent would adapt.

Unnervingly, this suggests that human responses to competitive scenarios arent so different to learned AI responses. While a losing sport teams cutthroat tactics may seem like a deeply human response, this behavior is much the same as AI computer characters programmed to compete.

As for whether aggressive AI fits into doomsday scenarios of robots overthrowing humans, well, robots dont need to show emotions to be a threat. While AI has fairly limited intelligence and is focused on fruit-picking, aggressive behavior isnt much to worry about. For now, at least, the biggest threat is how the humans behind the AI decide to program their robots.

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Google's AI got highly aggressive when competition got stressful in a fruit-picking game - Quartz

For all the good that machine learning can accomplish in cybersecurity, the technology is also accessible to bad actors.

For all the good that machine learning can accomplish in cybersecurity, it's important to remember that the technology is also accessible to bad actors.

While writers and futurists dream up nightmarish scenarios of artificial intelligence turning on its creators and exterminating mankind like Terminators and Cylons heck, Stephen Hawking and Elon Musk have warned AI is dangerous the more pressing concern today is that machines can be intentionally programmed to abet cybercriminal operations.

Could we one day see the benevolent AIs of the world matching wits with malicious machines, with the fate of our IT systems at stake? Here's what experts had to say

Derek Manky, global security strategist, Fortinet

In the future we will have attacker/defender AI scenarios play out. At first, they will employ simple mechanics. Later, they will play out intricate scenarios with millions of data points to analyze and action. However, at the end of the day there is only one output, a compromise or not.

In the coming year we expect to see malware designed with adaptive, success-based learning to improve the success and efficacy of attacks. This new generation of malware will be situation-aware, meaning that it will understand the environment it is in and make calculated decisions about what to do next. In many ways, it will begin to behave like a human attacker: performing reconnaissance, identifying targets, choosing methods of attack, and intelligently evading detection.

Autonomous malware operates much like branch prediction technology, which is designed to guess which branch of a decision tree a transaction will take before it is executed [This] malware, as with intelligent defensive solutions, are guided by the collection and analysis of offensive intelligence, such as types of devices deployed in a network segment, traffic flow, applications being used, transaction details, time of day transactions occur, etc.

We will also see the growth of cross-platform autonomous malware designed to operate on and between a variety of mobile devices. These cross-platform tools, or transformers, include a variety of exploit and payload tools that can operate across different environments. This new variant of autonomous malware includes a learning component that gathers offensive intelligence about where it has been deployed, including the platform on which it has been loaded, then selects, assembles, and executes an attack against its target using the appropriate payload.

Ryan Permeh, founder and chief cyber scientist, Cylance

Bad guys will use AI not just to create new types of attacks, but to find the limits in existing defensive approaches Having information on the limits of a defender's defense is useful to an attacker, even if it isn't an automatic break of the defenses.

Justin Fier, director of cyber intelligence and analysis, Darktrace

I think we're going to start to see in the next probably 12- 18 months AI moving into the other side. You're already starting to see polymorphic malware that [infects a] network and then changes itself, orautomatically deletes itself and disappears. So in its simplest form it's already there.

Where I think it could potentially head is where it actually sits dormant on a system and learns the user and then finds the most opportune time to take an action.

Diana Kelley, global executive security adviser, IBM

Malware is getting very, very situationally aware. There's some malware for example that can get onto the system and figure out, Is there AV on here? Is there other malware on here, shut it down so they're the only malware. Or even, Oh look, I've landed on a point-of-sale system rather than on a server, so I'm just going to shut down all of my functions that would work on a regular server and just have my ram scraper going cause that's what I want on the point of sale.

Staffan Truve, co-founder and CTO of Recorded Future

Truve said that AI will be used to automatically craft effective spear-phishing emails that contain victims' personal information, leveraging powerful data resources and natural-language generation capabilities to sound convincing.

I'm sure it will bevery hard to identify phishing emails in the future.

Additionally, We'll definitely be seeing AI that can analyze code and figure out ways to find vulnerabilities.

It's going to be an arms race between the good and bad guys The good side is a bit ahead right now and mostly I think the reason for that is that the bad guys are successful enough with old methods You can find enough targets that are who unsophisticated enough to be vulnerable to current technologies.

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The dark side of AI - SC Magazine

AI is so hot, its all people are talking about at least in Silicon Valley. The big companies like Facebook, Google, and Apple are in an all-out war trying to hire the best talent or acquire the smartest companies in this new area. You cant sit in a SF Bay Area coffee shop these days without hearing someone dropping the word AI in pitches. And as with all major trends, theres a lot of snake oil being sold, sofiltering out the noise from the real stuff is important.

Because despite the hype, AI is very real. Its potential impact on the market is in the hundreds of billions of dollars.

Which is why were proud to announce VentureBeat Summit onJune 5 and 6 in Berkeley, CA the first senior executive-level conference focused exclusively on how companies are applying artificial intelligence to get real results.

Register today for50% off with early-bird pricing a savings of $1,100!

Reserve your ticket here.

This invite-only event, which takes place at the historic Claremont Hotel in Berkeley for VP-level execs and above, will showcase technologiesand use cases that are transforming business now fromdigital applicationsin marketing and advertising to cyber security and the collaborative workplace.

Explaining technology disruption is VentureBeats specialty, and its why Im personally excited that were leading the charge in this fascinating area of AI. Were working hard to find the most compelling cases to showcase at the Summit. For example, well be hearing from VPs of marketing and other business units about how theyre using AI, and make sure to feature the hottest up-and-coming AI technologies and providers in the process.

Progress in AI and machine learning has unleashed a new wave of product innovation. Its spawned exciting large platforms like Facebooks Bots for Messenger, Amazons Alexa/Echo and Microsofts Cortana. But AI and machine learning have also empowered smaller developers and product managers who are building smarter apps of all kinds. Photo-sharing apps like Prisma exploded onto the scene last year, offering inspiring imagery created by neural nets.

This shows that harnessing AI isnt just in reach of the largest IT companies, but open to business executives everywhere.

And over the course of 2016, and entering 2017, a number of forces converged to allow astonishing breakthroughs in applications. They include availability of big data spurred by the mobile phone revolution, breakthroughs in science of neural networks and NLP, and reduced cost of powerful computing hardware machines, like that of Nvidias, to around $1,000.

The VB Summit will focus, in particular, on the digital industries where large amounts of data make AI technologies profitable. Companies applying this technology span industry verticals including consumer services, retail brands, and B2B enterprise.

Well dig beneath the hype, and bring to the surface those real technologies and strategies allowing executives to tap these forces for competitiveadvantage.

Well be announcing the first speakers shortly, but youll want to book this one early, because we expect to be sold out again. We do have a few spots available for those wanting to applyfor admission. Take advantage of our early bird pricing (save $1,100) which will last until March 10.

As a point of clarification, the event represents the metamorphosis of our Mobile Summit event, where we have featured leading speakers such as Sundar Pichai, now the CEO of Google, to explain the unfolding mobile revolution. That event, which weve done for six years, emerged to address the mobile revolution of the past decade. This year, however, we dropped Mobile from the name. Its now theVB Summit, and this year its all about AI.

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AI is so overhyped. VB Summit will sort through the noise - VentureBeat