On Tuesday, March 3, 2026, Deirdre K. Mulligan, professor in the UC Berkeley School of Information, testified at an informational hearing before the California State Assembly Committee on Privacy and ...

Running parallel to the rise of agentic AI is the rapid advancement of tokenization. This involves converting real-world ...

Understanding gene expression within the body has been a boon for 21st century biology and therapeutics, but most discoveries ...

Christine Allen, CEO and Co-Founder of Intrepid Labs, and Andy Lewis, CSO at Quotient Sciences, highlight their strategic ...

Understanding gene expression within the body has been a boon for 21st century biology and therapeutics, but most discoveries ...

Six years ago, Google was confident that by 2030 it would power all operations with electricity generated from clean sources, ...

Artificial intelligence research is increasingly moving closer to human neuroscience. Meta has introduced a new AI system designed to predict human brain activity, highlighting how machine learning ...

Pickup defects, which we define at late pickups from a vendor or shipper site, represent a very costly challenge in ...

Researchers use AI and advanced sensors to verify recycled plastic content with over 97% accuracy in consumer products ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

Introduction Frailty is a common condition in older adults with diabetes, which significantly increases the risk of adverse health outcomes. Early identification of frailty in this population is ...