The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, ...
Opinion
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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine ...
Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
Explore the 10 best generative AI courses to take in 2026, with options for hands-on training, certifications, and practical ...
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This AI mines the numbers buried in scientific papers and turns them into usable data fast
Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.
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