Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

The model takes normal weather models and makes them higher resolution, before delivering them to OpenSnow subscribers.

Google’s new TPU generations, including Trillium and Ironwood, are emerging as the strongest challenge yet to Nvidia’s GPU ...

The convergence of nuclear technology and artificial intelligence is no longer a far-off possibility, but rather an inevitable reality.

An engineer for New York Times Games has been trying to teach artificial intelligence to understand wordplay more like a ...

Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

An AI conference was bombarded with complaints about peer reviews sounding AI-generated. Now the reviews are being reviewed.

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

As AI reshapes biotechnology, stakeholders are acting to establish governance to maintain safety and efficacy standards.

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...