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 ...
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 ...
A research team led by Hiroshima University and Tokyo University of Agriculture and Technology have proposed a neuroendocrine mechanism in bony fish that signals ovulation from the ovaries to 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 ...
At CES 2026, Nvidia launched Alpamayo, a new family of open source AI models, simulation tools, and datasets for training physical robots and vehicles that are designed to help autonomous vehicles ...
A pill version of the blockbuster weight-loss medication Wegovy is rolling out in the U.S., and people are already actively navigating prescriptions. Experts say that a pill version of the high-demand ...
Foundation models—artificial intelligence systems trained on massive data sets to perform a wide range of tasks—have the potential to transform scientific discovery and innovation. At the request of ...
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