Intel to Purchase eASIC to Expand Programmable Solutions

Intel is acquiring eASIC, a 120-person custom chip company in Silicon Valley, to help boost its Programmable Solutions Group. The company stated that, “FPGAs [field programmable gate arrays] are experiencing expanding adoption due to their versatility and real-time performance,” and that “eASIC has a proven, 19-year success record … [and its] addition … will help us meet customers’ diverse needs of time-to-market, features, performance, cost, power and product life cycles.” Terms of the deal were not revealed. Continue reading Intel to Purchase eASIC to Expand Programmable Solutions

Facebook to Develop Live Video Filtering Chips for Faster AI

Facebook has used Intel CPUs for many of its artificial intelligence services, but the company is changing course to adapt to the pressing need to better filter live video content. At the Viva Technology industry conference in Paris, Facebook chief AI scientist Yann LeCun stated that the company plans to make its own chips for filtering video content, because more conventional methods suck up too much energy and compute power. Last month, Bloomberg reported that the company is building its own semiconductors. Continue reading Facebook to Develop Live Video Filtering Chips for Faster AI

Microsoft Reaches Out to Developers at its Build Conference

Microsoft revealed interesting news during this week’s Build developer conference in Seattle, Washington. Among the key announcements: a pair of mixed reality enterprise apps for the HoloLens; a partnership with DJI to bring Microsoft’s AI and machine learning tech to commercial drones; a preview launch of deep learning acceleration platform Project Brainwave; prototype hardware designed for the meeting room of the future; and Project Kinect for Azure, which provides developers with the opportunity to experiment with a package of sensors and Microsoft’s next-generation depth camera. Continue reading Microsoft Reaches Out to Developers at its Build Conference

Facebook Said to Be in Early Stages of Developing Own Chips

As part of the company’s recent push to develop new hardware, Facebook is reportedly working toward designing its own custom chips to be used in its consumer devices, data centers and AI software. The social media giant is currently developing devices such as smart speakers and VR headsets, and building its own chips could provide more control over design and development of these projects. Facebook’s strategy follows similar approaches by other tech giants, including Google and Apple. Continue reading Facebook Said to Be in Early Stages of Developing Own Chips

Microsoft Intros Brainwave, Jumpstarting AI Hardware Speed

Microsoft has debuted Brainwave, a system that improves AI hardware performance, enabling machine learning at speeds beyond what’s available today with CPUs or GPUs. At the Hot Chips symposium in Cupertino, California, researchers showed off a Gated Recurrent Unit model running on Intel’s newly released Stratix 10 FPGA (field programmable gate array chip), at a speed of 39.5 teraflops without batching operations. Brainwave currently supports models constructed with Microsoft’s CNTK framework and Google’s TensorFlow framework. Continue reading Microsoft Intros Brainwave, Jumpstarting AI Hardware Speed

Microsoft Speeds Up AI with New Programmable FPGA Chips

In 2012, Microsoft chief executive Steve Ballmer and computer chip researcher Doug Burger believed they had found the future of computing: chips that could be programmed for specific tasks, dubbed field programmable gate arrays (FPGAs). Project Catapult, as it was called, was intended to shift the underlying technology of all Microsoft servers in that direction. FPGAs now form the basis of Bing. Soon, the specialized chips will be capable of artificial intelligence at a tremendous speed — 23 milliseconds versus four seconds. Continue reading Microsoft Speeds Up AI with New Programmable FPGA Chips

Google Develops its Own Chip to Speed Up Machine Learning

Google has just built its own chip as part of its efforts to speed up artificial intelligence developments. The company revealed that this is just the first of many chips it plans to develop and build. At the same time, an increasing number of businesses are migrating to the cloud, lessening the need for servers that rely on chips to function. That’s led some to believe that Google and other Internet titans that follow its lead will impact the future of the chip industry, particularly such stalwarts as Intel and Nvidia. Continue reading Google Develops its Own Chip to Speed Up Machine Learning