When Chinese company Baidu was able to lure Andrew Ng away from his position leading Google Brain, that company’s deep-learning project, it seemed like a good omen for China’s prospects in AI. Now, however, Ng has left Baidu, and China’s ability to compete with U.S. companies is in question. That’s in part because Chinese tech firms rely on free-agent talent to lead research, and Ng’s departure makes it unclear whether they can retain foreign talent. But even U.S. firms are vying for top talent in the burgeoning field. Continue reading China and Others Vie for Top Scientists in Race to Dominate AI

Nvidia unveiled its Jetson TX2 platform, designed for devices that have limited bandwidth like drones, traffic cameras, and manufacturing robots. Some of these devices, such as a camera drone, may capture large amounts of data without working in the cloud or a connected data center. Subsequently, these devices have to do most of the processing themselves and Jetson 3.0 promises to make them more powerful. The TX2 chip, which provides twice the performance of the TX1 while using only half the energy, is designed for artificial intelligence at the edge of a network. Continue reading Nvidia’s Jetson TX2 Powers Devices with Artificial Intelligence

Facebook unveiled new hardware for use in its data centers, designs for which will be made available to outside companies through its Open Compute Project. The announcements were made during this week’s OCP U.S. Summit in Santa Clara. One announcement centered on a new GPU server designed to better serve the company’s AI initiatives. Big Basin — successor to the company’s Big Sur high-performance compute platform — will help Facebook train machine learning models that are 30 percent larger than those running on current servers. Continue reading Facebook Introduces New Hardware for Use in Data Centers

As artificial intelligence and machine learning become less expensive, their role is taking off in corporate America, and will soon extend from routine tasks to more complex, sophisticated decision-making. The neural network, for example, mimics the operations of the human brain, enabling AI to learn without extensive human intervention. Companies that are moving towards AI include AIG, which has shifted funds that would have gone to outsourced projects to AI, and aims to hire more programmers with AI skills. Continue reading Corporations Are Adopting AI, Startup Debuts AI-Based Video

CES 2017 may be best remembered not for one standout product, but for revealing a new and powerful generation of technology and the things it enables. The top five CES hashtags as the show ended perfectly summarize the hot topics of the week: #tech, #iot, #ai, #VR, and #CES. It was also a remarkably balanced show in the sense that almost every product category and business sector reflected applications and the impact of this evolution. Moore’s Law is alive, tomorrow is here, and the pace is accelerating. Three of the most important presentations of the week were made by Nvidia, Intel, and Qualcomm. Their processors deliver the power necessary for this next level of computing. Continue reading CES 2017: That Just Happened – Closing Day Takeaways

The decision by automakers such as General Motors in 2016, Fiat Chrysler and the conceptualist Faraday Future this year to debut new cars at CES instead of the traditional Detroit Auto Show the following week is about more than making headlines. Rather, it is indicative of how much the future of transportation is connected to so many other moving parts and innovations across the massive consumer electronics landscape. Driverless cars won’t widen eyes this year as much as it will be what we can do in and with this massive shift. Continue reading CES: Future of Transportation Drives Innovation, Investments

To further its efforts in autonomous cars, Uber acquired AI startup Geometric Intelligence and appointed its leads, Gary Marcus and Zoubin Ghahramani as co-directors of its new in-house AI research division. In addition to Marcus and Ghahramani, that company’s entire 15-person staff will also become part of Uber. Since Uber inked that deal, its value now approaches $70 billion. The new team’s first task is to tackle the data from millions of Uber rides, to further development of the computers that run self-driving vehicles. Continue reading Uber Purchases AI Startup for Autonomous Vehicle Research

Amazon introduced its first brick-and-mortar store that is part of Project Como, aimed at garnering a market share of food sales. The “small format” Amazon Go, one of three different types of grocery stores the company plans for the coming months, will open in early 2017. In the next few weeks, Amazon will also open two prototypes of another format, a drive-through without in-store shopping. Depending on the results of the tests, Amazon plans to open more than 2,000 such brick-and-mortar grocery stores. Continue reading Amazon Expands into Food Sales, Tests New Grocery Stores

The media industry’s interest in artificial intelligence goes much deeper than simply portraying its implications in movies such as “Her” or “Ex Machina.” Recommendations and push notifications are just two examples of how media uses AI. YouTube has evolved its use of machine learning algorithms to improve its content recommendations. In the early days, the site used “collaborative filtering” to feed videos to viewers. Now the company uses much more complex models based on deep learning powered by neural networks. Continue reading Media Companies Leverage Data-Driven AI to Evolve, Prosper

Yoshua Bengio, a leader in deep learning and professor at the University of Montreal, is opening Element AI, a startup incubator focused on this form of artificial intelligence. The incubator will help develop AI-centric companies coming from both Bengio’s university and nearby McGill University, part of Bengio’s stated goal of creating an “AI ecosystem” in this Canadian city. According to Bengio, Montreal is home to “the biggest concentration in the world” of researchers in the powerful field of deep learning. Continue reading Deep Learning Pioneer Yoshua Bengio Launches AI Incubator

Intel announced it is acquiring Movidius, the Irish computer vision company that builds processors for drones, robots, VR systems and more. Movidius was an early partner with Google and was responsible for Project Tango’s 3D sensor technology. Intel is planning to move beyond PCs; the Movidius deal is expected to help it expand its artificial intelligence portfolio and build upon its RealSense platform. According to Intel, with Movidius the company “gains low-power, high-performance SoC platforms for accelerating computer vision applications.” Continue reading Intel Acquires Movidius, Plans Next Wave of RealSense Tech

Betting big that future data centers will rely upon artificial intelligence, Intel is acquiring deep learning startup Nervana Systems. Details have yet to be revealed, but an inside source values the San Diego-based startup at $408 million. According to Intel VP Jason Waxman, the shift to artificial intelligence could surpass cloud computing, since machine learning would be necessary for a future in which billions of devices communicate with each other. Nervana “has been working to bring machine learning all the way into the silicon,” reports Recode, “rather than simply making software that can run on top of anyone’s cluster of graphics chips.” Continue reading Intel Invests in Machine Learning with Nervana Systems Deal

Nvidia introduced Titan X, a new chip that is a successor to a current chip with the same name, targeted at the high-end gaming and artificial intelligence communities. Priced at $1,200 and available beginning August 2, the new Pascal-based Titan X chip offers 12 billion transistors, compared to seven billion on a high-end Intel chip. The new Titan X will be available as an add-on card for PCs. Nvidia’s closest competitor, Advanced Micro Devices (AMD) offers a similar chip for PCs and game consoles. Continue reading Nvidia Rolls Out Titan X Chip for Games, Artificial Intelligence

Image recognition, or computer vision, is the foundation of new opportunities in everything from automotive to advertising. Its growing importance is such that the upcoming LDV Vision Summit, an annual conference on visual technology, is now in its third year. Computer vision has expanded through trends that have benefited other forms of AI, including open source, deep learning technology, easier programming tools and faster, cheaper computing, opening up opportunities for a wide range of businesses. Continue reading Image Recognition Tech Paving the Way for Future Advances

Google just indicated one of its future initiatives when Amit Singhal, who oversees the Google search engine, stepped down, and was replaced by John Giannandrea, who oversees Google’s work in artificial intelligence and, by association, what’s called “deep learning.” Google has already used deep learning to reinvent Search, via RankBrain, a deep learning system to generate responses to search inquiries. As of October of last year, RankBrain has grown to handle a “large fraction” of the queries to the search engine. Continue reading Google Sees Future in Artificial Intelligence and Deep Learning