Over the last few years, the single-cell landscape has transitioned from mapping individual cellular transcriptomes to ...

Companies aim to improve drug discovery by training AI on one another’s data and generating large, open datasets ...

Flatiron Institute physicists showed that a classical algorithm using 3D tensor networks and a revived 1982 belief ...

For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to compare complex medical images quickly and accurately, helping detect subtle ...

We introduce VeriStruct, a novel framework that extends AI-assisted automated verification from single functions to more complex data structure modules in Verus. VeriStruct employs a planner module to ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

A powerful new real-world data platform could transform how scientists predict and understand Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRD), reports a new study at Columbia ...

Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...