Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...

USPTO Director Squires’s 2025 policies encourage more use of evidence-based SMEDs to challenge patent rejections, especially ...

Opinion: Recent agreements involving AI learning through a licensed “large music model,” as well as new EU regulations, provide guidance for how artists and music publishers can protect and enforce ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

A new AI model in the US, SleepFM, has found that patterns in human slumber can be used to predict a person's risk for about 130 diseases, including dementia and certain cancers.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

There may be two distinct subtypes of multiple sclerosis, according to a new study led by scientists at University College ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Human Identities the Key to Unlocking Data Security with Agentic AI? Where data security is paramount, many organizations grapple with the potential vulnerabilities that Agentic AI might introduce if ...

Explore the AI Maturity Model for Cybersecurity—a practical framework to measure AI adoption, reduce risk, and improve ...