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

Google, which created tensor processing units (TPUs) for its artificial intelligence systems some years ago, will now make those computer chips available to other companies via its cloud computing service. Google is currently focusing on computer vision technology, which allows computers to recognize objects; Lyft used these chips for its driverless car project. Amazon is also building its own AI chips for use with the Alexa-powered Echo devices to shave seconds off its response time and potentially increase sales. Continue reading Google Offers Its AI Chips to All Comers via Cloud Computing

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

Apple is reportedly working on Apple Neural Engine, the internal name for a new AI-enhanced processor that will enable facial and speech recognition ordinarily accomplished by human intelligence. The company, which would not comment, had an early AI win with Siri, but has since been playing catch up with Amazon and Google, both of which offer AI-powered digital assistants. Apple Neural Engine would give Apple more capabilities in autonomous vehicles and augmented reality devices, both fields Apple is involved in. Continue reading Apple Develops AI Chip to Compete in Autonomous Cars, AR

At Nvidia’s GPU Technology Conference, the company’s chief executive Jen-Hsun Haung introduced Project Holodeck, which aims to provide an experimental multi-user virtual environment with real-time photorealistic graphics and real-world physics. The new technology, which uses Epic’s Unreal Engine 4 and Nvidia’s GameWorks, VRWorks and DesignWorks, is targeted at design engineers and their collaborators. Nvidia’s Project Holodeck demo involved Koenigsegg Automotive, a Swedish company that makes exotic sports cars. Continue reading Nvidia’s Project Holodeck: Photoreal Graphics in Shared VR

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