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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 10, 2017 | Source: IEEE Access, Volume 4, ieeexplore.ieee.org, 2016, Natalia Neverova, et al.
Learning Human Identity from Motion Patterns
Google researchers present a large-scale study exploring the capability of temporal deep neural networks to interpret natural human kinematics and introduce the first method for...
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...
September 26, 2016 | Source: Chris Duckett, ZDNet
Nvidia Releases Pascal GPUs for Neural Networks
The Pascal architecture is continuing to find its way through Nvidia's product line-up, with today marking the introduction of its Tesla P4 and P40 GPUs. According to Nvidia's...