A new Stanford study reveals where AI should augment—not automate—human work. For healthcare, the implications point to a ...

Device, a vision-language-action (VLA) foundation model designed to run locally on robot hardware. The model features ...

The global agentic AI in healthcare market is set to witness a growth rate of 35-40% in the next 5 years. Increasing demand ...

Healthcare startups are betting that AI can help them do more with less — including in caring for patients.

Chicago, IL – July 17, 2025– Today, Zacks Investment Ideas feature highlights Alphabet GOOGL, Meta Platforms META, Tesla TSLA ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

The findings challenge assumptions about LLM reliability in enterprise use, where decision support and automation depend on AI-generated confidence.

These capabilities illustrate the multifaceted promise of AI: speeding up scientific discovery, improving patient outcomes, ...

Artificial intelligence (AI) models trained on large datasets are increasingly seen as the key to unlocking personalized ...

Scientists have used an AI model to reassess the results of a completed clinical trial for an Alzheimer's disease drug. They ...

Monitoring AI's train of thought is critical for improving AI safety and catching deception. But we're at risk of losing this ability.

Large language models (LLMs) sometimes lose confidence when answering questions and abandon correct answers, according to a ...