On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models.
Wikipedia’s sister project Wikidata just got a new database that is easier for AI models to ingest. Wikipedia’s sister project Wikidata just got a new database that is easier for AI models to ingest ...
Top U.S. cancer centers have launched a federated AI platform, letting models learn from patient data securely to accelerate research and treatment discoveries.
Anthropic is opening Imagine with Claude for five days: a desktop in the browser that can be customised with prompts, including your own programs running on it.
As environmental policy faces setbacks across Europe, the 'Green to Grey' investigation reveals that European land take is far higher than the official figures reported by EU authorities.
Back in 2002, Rentia le Roux received a horrifying diagnosis that her kidneys were failing. “My kids still need me, they are still small, what are we going to do?” Le Roux recalls telling her doctor.
TORONTO, ON / ACCESS Newswire / October 1, 2025 / Aclara Resources Inc. ("Aclara" or the "Company") (TSX:ARA) is pleased to announce an updated ...
Could this be the end of AI hallucinations? Wikimedia Deutschland has revealed a new project to make information on Wikipedia accessible to artificial intelligence (AI) models. The project, called the ...
Moving beyond static code prediction, the model learns an internal world model of computational environments for more grounded and reliable code generation.
Over the last few months, many AI boosters have been increasingly interested in generative video models and their seeming ability to show at least limited emergent knowledge of the physical properties ...
Sawfish — with their long, toothed snouts that resemble saw blades — are being caught as bycatch in Australia’s largest tropical prawn fishery. In the warm, shallow azure waters off northern Australia ...
Artificial intelligence models have improved weather forecasting, but their inner workings are largely opaque. A new approach could make their predictions more interpretable by scientists.