Convergent evolution—where distinct species independently evolve similar traits or functions, such as the wings of birds and ...

Critics slammed attempts by Google, Microsoft and Meta to speed up materials discovery. But behind the hype, there is progress.

Periodic Labs has raised from a tech industry who's who, including Andreessen Horowitz, Nvidia, Elad Gil, Jeff Dean, Eric ...

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

Thinking Machines, the AI startup founded earlier this year by former OpenAI CTO Mira Murati, has launched its first product: Tinker, a Python-based API designed to make large language model (LLM) ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

A significant Patent Trial and Appeal Board (PTAB) decision authored by the US Patent and Trademark Office (USPTO) leadership, including the new USPTO Director John A. Squires, signals the importance ...

Learn how Tongyi DeepResearch combines cutting-edge reasoning and open-source flexibility to transform advanced research workflows.

TU Wien researchers tested six frontier LLMs by leaving them without any tasks or instructions. Some models built structured ...

Deep Sky brings the awe-inspiring images captured by NASA's Webb Telescope to IMAX® — taking audiences on a journey to the beginning of time and space, to never-before-seen cosmic landscapes, and to ...

Sea snot’ blooms threaten marine life, tourism, and fisheries. Researchers used satellite images and AI to rapidly detect ...