Understanding how people use the spaces they inhabit—where they live, work, and gather—is key to effective urban planning ...

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

Million Records Built from Live Attack Traffic Released to Advance Cybersecurity Research at the University of ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Most of us know Roundup. That bright yellow bottle has lived in the garage for decades, or maybe in the shed at the family ...

Single-cell analysis is reshaping drug discovery, but interpretation remains slow. AI single cell approaches may close the ...

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

A new machine learning tool called PhysMAP separates the electrical signatures of different cell types, offering a new way to ...

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

Robotics programs require egocentric, multi-sensor training data at a scale that is growing exponentially, creating a procurement challenge distinct from any prior AI development cycle  Annotation ...

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...