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…
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…
DOE’s Argonne National Laboratory has teamed up with Fujitsu, RIKEN, and NVIDIA to help bring AI deeper into scientific computing. The goal is simple. Connect AI with high performance computing so researchers can work with simulation and experimental data in the same place, at the same time. AI is often thought of as a downstream…
