Deep Learning is probably the most popular form of machine learning at this time. Although not every problem boils down to a deep learning model, in domains such as computer vision and natural ...

As the war for creating customized AI hardware heats up, Google announced at Google I/O 2018 that is rolling out out its third generation of silicon, the Tensor Processor Unit 3.0. Google CEO Sundar ...

Edge computing is booming. The idea of taking compute out of the data center, and bringing it as close as possible to where data is generated, is seeing lots of traction. Estimates for edge computing ...

A multi-institution research team has developed an optical chip that can train machine learning hardware. A multi-institution research team has developed an optical chip that can train machine ...

It can be hard to imagine in today’s commodity landscape which every smartphone, tablet, laptop, desktop and server seems to run on a small set of fairly similar chips, but there was once an era of ...

FPGAs or GPUs, that is the question. Since the popularity of using machine learning algorithms to extract and process the information from raw data, it has been a race between FPGA and GPU vendors to ...

Back at the start of 2017, Arm announced its first batch of dedicated machine learning (ML) hardware. Under the name Project Trillium, the company unveiled a dedicated ML processor for products like ...

It might be a bit early to call generative adversarial networks (GANs) the next platform for AI evolution, but there is little doubt we will hear much more about this beefed up approach to deep ...

Serkan Piantino, a longtime Facebook engineer who helped to create its artificial intelligence research lab, has left the social networking firm to start a company focused on making it easier for ...