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 ...

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 ...

Machine learning (ML) is only one aspect of artificial intelligence (AI). ML also has many parts to it, but those having the biggest impact now are based around neural networks (NNs). Even drilling ...

In addition to conducting its own research into AI-specific processors, MIT is introducing coursework to train the next generation of engineers in building hardware for deep learning and AI ...

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 ...

Researchers from the Massachusetts Institute of Learning brings a new hardware with its process being faster than the human brain, and it is ready for deep learning. Gerd Altmann | Pixabay A research ...

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 ...

When it comes to training deep learning models, NVIDIA may be getting all the attention. However, Intel is not sitting quietly, just staring at the massive AI opportunity. It is moving fast in ...