Jacob James of Newsweek recently discussed artificial intelligence expert David Levy’s thoughts on combining natural language processing with sex dolls, and what doing so might mean for society. James writes, “It was while researching his 2003 book, Robots Unlimited, that [Levy] first became interested in the subject. Specifically, he read a quote from a 1984 book by Sherry Turkel… An interviewee, ‘Anthony’, told Turkel that he had tried having girlfriends but preferred his relationship with his computer. ‘That quotation hit me like a brick wall,’ says Levy. ‘I thought – if a smart guy could think like that in 1984, I wonder how much the concept of human-computer emotional relationships has developed since then’.” Read more
Cade Metz of Wired recently wrote, “Deep learning can do many things. Tapping the power of hundreds or even thousands of computers, this new breed of artificial intelligence can help Facebook recognize people, words, and objects that appear in digital photos. It can help Google understand what you’re saying when you bark commands into an Android phone. And it can help Baidu boost the bottom line. The Chinese web giant now uses deep learning to target ads on its online services, and according to Andrew Ng—who helped launch the deep learning operation at Google and now oversees research and development at Baidu—the company has seen a notable increase in revenue as a result. ‘It’s used very successfully in advertising,’ he says, sitting inside the company’s U.S. R&D center in Sunnyvale, California. ‘We have not released revenue numbers on the specific impact, but it is significant’.” Read more
Red Lamba’s AI-Enabled Security Solution Stands Up To Operational Data Volume And Velocity Challenge
Red Lambda, a company spun out of the University of Florida, late last month was recognized by The Software & Information Industry Association (SIIA)’s NextGen program for providing the most innovative security solution. SIIA cited its advances in supercomputing, relational stream processing and artificial intelligence as part of its integrated MetaGrid platform and analytics capabilities as highlights for protecting enterprise data.
The rules approach taken by many antivirus and security information management solutions to root out threats based on what was learned in past breaches has its place. But “Red Lambda wants to identify activity and patterns of activity that can be seen as a breach or potential breach,” says company CTO Dan Nieten.
“One of the things neural networking is very useful for is for deep learning and also dealing with unknowns, and cyber-security world is a world where you have to deal with a lot of unknowns.” To battle threats that get past the first lines of defense, more attention is starting to be paid “to use AI, to apply statistical and machine learning methods in the area of security, to identify breaches,” says Nieten, whose own background is in NLP and machine learning. Read more
Sophie Curtis of The Telegraph reports, “Today a new artificial intelligence computing system has been unveiled, which promises to transform the global workforce. Named ‘Amelia’ after American aviator and pioneer Amelia Earhart, the system is able to shoulder the burden of often tedious and laborious tasks, allowing human co-workers to take on more creative roles. ‘Watson is perhaps the best data analytics engine that exists on the planet; it is the best search engine that exists on the planet; but IBM did not set out to create a cognitive agent. Read more
Dave Altavilla of Forbes reports, “Microsoft has a big opportunity tomorrow when they unveil the next version of Windows known by the code name ‘Threshold’ and what could ultimately be dubbed Windows 9. Though its official name has yet to be confirmed, Microsoft is holding an event tomorrow in San Francisco and the unveil invitations sent out hint at ‘what’s next for Windows.’ Lately there have been a flurry of reports and leaks of what is widely known as Windows 9, though there is still some buzz that Microsoft may brand the OS by a different name upon launch. Regardless, here are a few key highlights on what I think we’ll see the Redmond team unveil with this new OS, which is expected to cure the many ills users have been complaining of with Windows 8.” Read more
Cade Metz of Wired reports, “When Google used 16,000 machines to build a simulated brain that could correctly identify cats in YouTube videos, it signaled a turning point in the art of artificial intelligence. Applying its massive cluster of computers to an emerging breed of AI algorithm known as ‘deep learning,’ the so-called Google brain was twice as accurate as any previous system in recognizing objects pictured in digital images, and it was hailed as another triumph for the mega data centers erected by the kings of the web.” Read more
Derrick Harris of GigaOM recently wrote, “Jeff Hawkins is best known for bringing us the Palm Pilot, but he’s working on something that could be much, much bigger. For the past several years, Hawkins has been studying how the human brain functions with the hope of replicating it in software. In 2004, he published a book about his findings. In 2012, Numenta, the company he founded to commercialize his work, finally showed itself to the world after roughly seven years operating in stealth mode. I recently spoke with Hawkins to get his take on why his approach to artificial intelligence will ultimately overtake other approaches, including the white-hot field of deep learning. We also discussed how Numenta has survived some early business hiccups and how he plans to keep the lights on and the money flowing in.” Read more
We are seeing the beginning of the new artificial intelligence economy. This has many parallels to the infrastructure-as-a-service wave led by Amazon Web Services (AWS), which provided the world with access to highly-scalable compute capacity. AI technologies are being exposed as core infrastructure via the cloud, enabling companies to build smarter applications and services.
If you think you aren’t already a part of the AI economy, think again. Most of us are already participating through our interaction with popular applications and services. For example, Google Maps uses AI technology to better understand Street View images to give more accurate directions; and both Siri and Google Now use a combination of speech recognition, language understanding, and predictive modeling to act as digital personal assistants.
So the big question is: why now? Historically, AI technologies have been limited by a lack of data, insufficient compute capability, and poor algorithms. We’re now witnessing the convergence of three major forces: ready access to massive data, highly scalable on-demand compute capability, and a number of core algorithmic breakthroughs that enable us to better train robust AI systems. This is a perfect storm that has resulted in significant advances in computers’ ability to understand text, images, video, and speech. Read more
A recent announcement on EurekAlert! states: “Researchers from North Carolina State University have developed artificial intelligence (AI) software that is significantly better than any previous technology at predicting what goal a player is trying to achieve in a video game. The advance holds promise for helping game developers design new ways of improving the gameplay experience for players.”We developed this software for use in educational gaming, but it has applications for all video game developers,” says Dr. James Lester, a professor of computer science at NC State and senior author of a paper on the work. “This is a key step in developing player-adaptive games that can respond to player actions to improve the gaming experience, either for entertainment or – in our case – for education.” The researchers used “deep learning” to develop the AI software. Deep learning describes a family of machine learning techniques that can extrapolate patterns from large collections of data and make predictions. Deep learning has been actively investigated in various research domains such as computer vision and natural language processing in both academia and industry.”
Daniel Sparks of The Motley Fool reported, “”Chinese companies are starting to dream,” said early investor in Baidu (NASDAQ: BIDU ) and managing partner at GGV Capital Jixun Foo. Foo’s proclamation was made in an in-depth article by MIT Technology Review, which examined the Chinese search giant’s new effort to change the world with artificial intelligence. The company’s new AI lab does, indeed, accompany some lofty aspirations — ones big enough to hopefully help Baidu become a global Internet powerhouse and to compete with the likes of Google in increasingly important emerging markets where the default search engine hasn’t yet taken the throne. But what are the implications for investors? Fortunately, Baidu’s growing infatuation with AI looks like it could give birth to winning strategies that could build sustainable value over the long haul.”
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