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April 24, 2017 | Source: Stanford News, news.stanford.edu, 20 February 2017, Taylor Kubota
High-Performance, Low-Energy Artificial Synapse for Neural Network Computing
A new organic artificial synapse made by Stanford researchers could support computers that better recreate the way the human brain processes information. It could also lead to...
April 17, 2017 | Source: The Next Platform, nextplatform.com, 2 February 2017, Nicole Hemsoth
Memory at the Core of New Deep Learning Research Chip
Over the last two years, there has been a push for novel architectures to feed the needs of machine learning and more specifically, deep neural networks. We have covered the many...
April 14, 2017 | Source: The Next Platform, nextplatform.com, 23 Aug 2016, Nicole Hemsoth
FPGA Based Deep Learning Accelerators Take on ASICs
Over the last couple of years, the idea that the most efficient and high performance way to accelerate deep learning training and inference is with a custom ASIC—something...
April 13, 2017 | Source: MIT News, news.mit.edu, 1 February 2017
MIT Wearable AI System Can Detect a Conversation's Tone
It’s a fact of nature that a single conversation can be interpreted in very different ways. For people with anxiety or conditions such as Asperger’s, this can make social...
April 12, 2017 | Source: The Next Platform, nextplatform.com, 7 September 2016, Nicole Hemsoth
The Next Wave of Deep Learning Architectures
Intel has planted some solid stakes in the ground for the future of deep learning over the last month with its acquisition of deep learning chip startup, Nervana Systems, and most...
March 13, 2017 | Source: The Next Platform, nextplatform, 11 February 2017, Nicole Hemsoth
Intel Gets Serious About Neuromorphic, Cognitive Computing Future
Like all hardware device makers eager to meet the newest market opportunity, Intel is placing multiple bets on the future of machine learning hardware. The chipmaker has already...
February 27, 2017 | Source: Microsoft, blogs.microsoft.com, 15 February 2017, Allison Linn
Microsoft AirSim: Open Source System Trains Drones to Move Safely on Their Own
When most people with normal vision walk down the street, they can easily differentiate the things they must avoid – like trees, curbs and glass doors — from the things they don’t...
Survivability and Vulnerability
Real-Time, In Situ Intelligent Video Analytics: Harnessing The Power of GPUs for Deep Learning Applications
A DATA EXPLOSION From the edges of the observable universe to medical image scanners on Earth, there is an ever-growing need to quickly process and understand large amounts of...