What DOE’s 26 AI Challenges Reveal About Building a National Science Engine

At BigDATAwire we outlined the key data challenges that will define the Genesis Mission. There is a growing acknowledgment that scientific AI often breaks down at the data layer. Fragmented datasets and uneven metadata introduce friction that no model alone can overcome. Federated access rules and mismatched computing environments add to the challenge. While the…

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OpenScholar Shows Why Grounded AI Matters for Scientific Research

Researchers from the Allen Institute for AI (Ai2) and the University of Washington have developed a new open-source AI model named OpenScholar that they claim can synthesize scientific literature and verifiable citations at a level comparable to a human expert. With millions of scientific papers published every year, it’s challenging to keep up with the…

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