When the human brain learns something new, it adapts. But when artificial intelligence learns something new, it tends to forget information it already learned. As companies use more and more data to ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...

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 ...

Lawrence Livermore National Laboratory has long been one of the world’s largest consumers of supercomputing capacity. With computing power of more than 200 petaflops, or 200 billion floating-point ...

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 ...

A research team has developed an optical computing system for AI and machine learning that not only mitigates the noise inherent to optical computing but actually uses some of it as input to help ...