Life sciences organisations generate data at extraordinary speed, but insight remains slow. Semantic knowledge graphs and ontologies address this by providing context and structur ...
The partnership seeks to fulfill QuEra's goal of helping enterprises, government programs and HPC centers collaborate on designing and validating applications before quantum hardware reaches full ...
NIST and the DOE Office of Science will coordinate research activities and combine their expertise to accelerate AI innovation across several strategic disciplines, including biotechnology, quantum ...
Multi-year partnership will integrate Quantinuum’s Helios quantum computer with Oracle Cloud Infrastructure, combining quantum computing with AI and HPC service ...
AMD would explore providing up to 5 million pounds in compute resources for BOLD researchers during the 18 months following the lab’s launch. New command-line framework combines large language models, ...
The technology has been developed and tested using data from the Hard X-ray Nanoprobe beamline, operated jointly by the Advanced Photon Source (APS) and Argonne's Center for Nanoscale Materials.
The AIGFs will strengthen Europe's AI ecosystem by expanding computing capacity and driving a service-oriented model that ...
To address increasing design and assembly complexity, Simple Energy has also extended its engineering environment and replaced its legacy 3D CAD capabilities with Siemens’ Designcenter X ...
Runware says workloads can be redirected to other pods if an individual unit loses power, cooling or network connectivity. New command-line framework combines large language models, code retrieval and ...
Hassabis will become chair of Google DeepMind and chief scientist at Alphabet, Google's parent company. He will retain his position as chief executive of Isomorphic Labs, the AI drug discovery company ...
Built using renewable electricity and ranked among the world's most energy-efficient supercomputers, Isambard-AI combines AI capability with a strong commitment to sustainability.
From left: Vir Karan, Gerbrand Ceder, and Kristin Persson are part of a research team that developed an AI model that reveals how best to synthesise promising new materials.