In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal data. However, the decentralized nature of FL ...
Chinese researchers harness probabilistic updates on memristor hardware to slash AI training energy use by orders of magnitude, paving the way for ultra-efficient electronics.
CP2K is a widely used open-source package for atomic and molecular simulations, including AI training data. A new overview ...
White Paper Reveals How Semiotics Helps AI and Robots Understand Human Meaning Semiotica Cybernetics Logo SINGAPORE, Jan. 24, 2026 (GLOBE NEWSWIRE) -- Semiotica Cybernetics, an AI startup founded by ...
Individualisation has become central to modern training strategies. AI analytics allows staff to adjust workloads for each ...
Data from the generative AI study shows that automation risk varies sharply by region and sector, with transportation and ...
A breakthrough method from the 1990s is now being transformed into an AI-powered tool to help doctors diagnose cerebral palsy ...
Skild AI Inc., a startup that develops artificial intelligence software for robots, has raised $1.4 billion from a group of ...
Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...
1dOpinion
The big higher education question in 2026 ought to be: what are we preparing young people for?
Higher education stands at a fork in the road. One path leads deeper into optimisation: faster courses, tighter metrics, ...
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