Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

Deep learning has substantially advanced reaction-yield prediction and synthesis-planning methodologies, yet achieving a unified architecture capable of transferring across these tasks remains a ...

Discover why animal models fall short in AI drug discovery and how human-first datasets and functional genomics are changing ...

Astronomers in Arizona turned to artificial intelligence to test out a new method of classifying meteors based on their ...

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

Spiking neural networks (SNNs) running on neuromorphic computers offer an energy-efficient alternative for AI tasks. Recently, spiking graph neural networks (S-GNNs) have been shown to produce ...

Astronomers at the Lowell Observatory in Flagstaff are using an innovative AI technique to revolutionize how meteors are ...

AI. Is there reason to worry? A new experiment tests how gen-AI imagery can affect how people feel about their bodies.

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...

A researcher at LSU Health Shreveport has been awarded a grant of just over $200,000 to study how to predict and prevent heat ...

Research from the MACH Alliance already points to a growing separation between carriers capable of turning AI into measurable ...