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 ...

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 ...

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 ...

Brain-inspired AI-hardware mimics neural efficiency to cut energy use, enabling autonomous devices to navigate, adapt and make real-time decisions independently.

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 ...

VentureBeat presents: AI Unleashed - An exclusive executive event for enterprise data leaders. Network and learn with industry peers. Learn More Deep learning continues to gather steam in corporate ...

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 ...

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 ...

Editor’s note: Two years ago, Lauro Rizzatti talked with Thomas Delaye, product engineering director at Siemens EDA, about applying machine learning to hardware emulation. (See: Can AI Help Manage the ...