Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
From structure confirmation to methodology improvements, making complex natural products has driven innovation in organic ...
One of the great successes of 20th-century physics was the quantum mechanical description of solids. This allowed scientists to understand for the first time how and why certain materials conduct ...
Researchers built autonomous robots the size of salt grains—with onboard computers, sensors, and motors that think and swim ...
The world's earliest computer was a silk loom built in China over two millennia ago, according to a claim made by China's ...
Tadeo Ramirez-Parada studied the timing of plant flowering for his PhD — but he didn’t touch a single petal. Instead, he ...
In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...
What I am looking at is not just the most powerful computer in the world, but the key to financial security, Bitcoin, ...
In a new co-authored book, Professor and Chair of Psychology and Neuroscience Elizabeth A. Kensinger points out some surprising facts about how memories work Explaining the science behind memory and ...