Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Anthropic PBC, maker of the Claude family of artificial intelligence models, today introduced a feature in beta mode that ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

The new collaboration will see Accenture, a major provider of information technology services, launch a business unit called ...

With the popularity of AI coding tools rising among some software developers, their adoption has begun to touch every aspect of the process, including the improvement of AI coding tools themselves.

Put the pieces together and you can see a plausible near-future where human scientists focus more on choosing good questions ...

SingularityNET unveils Hyperon AGI platform and PRIMUS architecture combining symbolic reasoning and neural learning to guide ...

As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...

Microsoft rolls out Model Context Protocol support in Windows ML, providing tools to build agentic Windows applications that ...

Computational biology expert Nadia Lanman helps cancer researchers find solutions in massive datasets generated through ...

With the advent of AI-powered protein design tools, protein-based therapeutics may no longer be constrained by the limits imposed by natural selection.