Labeling data is a time-consuming, labor-intensive and costly procedure for many artificial intelligence tasks. Deep Bayesian active learning (DBAL) boosts labeling efficiency exponentially, ...

Quantum computing offers exciting opportunities for simulating complex quantum systems and optimizing large-scale combinatorial problems, but its practical use is limited by device noise and ...

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 ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

The discovery that led Nir Shavit to start a company came about the way most discoveries do: by accident. The MIT professor was working on a project to reconstruct a map of a mouse’s brain and needed ...

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 ...

In the “Embedded Systems” course, 400 students work on their own prototypes. An open-source hardware platform and an AI assistant enable project-based learning, even in large classes. According to ...

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 ...

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 ...

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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Lambda, a leading provider of deep learning GPU cloud services and computing hardware, today announced that it has raised $24.5M in financing. Primary investors include ...