Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.

The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.

Complimentary approaches — “HighLight” and “Tailors and Swiftiles” — could boost the performance of demanding machine-learning tasks.

AI models that prioritize similarity falter when asked to design something completely new.

Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.

Some researchers see formal specifications as a way for autonomous systems to "explain themselves" to humans. But a new study finds that we aren't understanding.

Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.

Study shows users can be primed to believe certain things about an AI chatbot’s motives, which influences their interactions with the chatbot.

By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.

Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.