Interpretability is the science of how neural networks work internally, and how modifying their inner mechanisms can shape their behavior--e.g., adjusting a reasoning model's internal concepts to ...
Keeping up with the latest research is vital for scientists, but given that millions of scientific papers are published every ...
One of the most enduring goals in regenerative medicine is deceptively simple: replace a person's damaged or dying cells with ...
A better model would take these factors into account to offer a more realistic recommendation, perhaps by providing an option ...
Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, ...
While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI models. Unlike generative diffusion models, the team's Discrete Spatial ...
SAN FRANCISCO, Jan. 8, 2026 /PRNewswire/ -- Benchling, the platform for scientific progress, today announced a strategic collaboration with Lilly TuneLab, an artificial intelligence and machine ...
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