GPUs are widely used to accelerate AI computing, but are the limitations of GPU technology slowing down innovation in the…
UT Austin says a chip it has developed can, in simulations, beat the V100 on training neural nets. The claim…
200 engineers and researchers gathered in California to discuss forming a community to cultivate deep learning in ultra-low power systems,…
The engineer behind the Segway and First Robotics Competition discusses his team's current work for FedEx on a delivery robot…
“If you are not using sparsity and compression at this point, you are behind the curve”
Very low-power Arm chips with machine intelligence meets creative marketing terms
Videantis launched its sixth-generation processor IP architecture, which adds deep learning capability to a solution that combines computer vision, image…
DeepScale has developed a perception system for ADAS/autonomous vehicles. It offers pre-trained AI algorithms, based on raw data, not object…