The feasibility study by Georgia Tech researchers explores using conditional normalizing flows (CNFs) to convert seismic data points into usable information and observable images. This potential ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite ...

DELRAY BEACH, Fla., Feb. 17, 2026 /PRNewswire/ -- According to MarketsandMarkets™, the Computational Storage Market is projected to reach USD 4.30 billion by 2032 from USD 0.93 billion in 2026, at a ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Boston-based Wasabi Technologies, a data storage startup taking on the ...

Digital twins and prognostic models deliver detailed insights into a battery’s behaviour and lifespan, and machine learning..