AI models are accelerating materials science by predicting synthesis pathways. MIT’s new tool can propose reaction conditions in seconds, cutting down years of trial-and-error experiments.
As election campaigns heat up, concerns over AI regulation and development are taking center stage, with many Americans demanding action from lawmakers
Most advanced AI models answer every question with absolute certainty, even when guessing. New research from MIT reveals how this flaw emerges and introduces a training method to make models humbler—and more trustworthy.
New Stanford research reveals single-agent AI systems often deliver better reasoning accuracy than complex multi-agent setups when computational budgets are equalized, challenging industry assumptions about swarm architectures.