A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

It seems like every AI researcher these days has lots of ideas around how to combat major shortcomings in the field, such as ...

A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

The appellate authority held that interactive flat panel displays are primarily large display devices. Despite embedded ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

If your calendar is packed with standups, releases, and stakeholder calls, structured learning can feel out of reach. Yet AI ...

As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...

Anthropic is pushing into the healthcare market as it launches artificial intelligence tools and resources purpose-built for ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

What Are Non-Human Identities, and Why Are They Crucial for Security? Have you ever pondered the implications of leaving machine identities unsecured? With cybersecurity advances, the spotlight ...

For decades, Uranus and Neptune have been filed neatly into the “ice giant” drawer, shorthand for worlds built mostly from ...