Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...
Many intelligent applications and systems, including biomedical hardware and devices, require humancomputer interaction technology. This technology enables ...
How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers ...
A scientist combines attention neural networks with graph neural networks to better understand and design proteins. The approach couples the strengths of geometric deep learning with those of language ...
A Japanese research team has successfully reproduced the human neural circuit in vitro using multi-region miniature organs ...
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Taming chaos in neural networks: A biologically plausible way
A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...
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Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.
Recent advances in neuroscience, cognitive science, and artificial intelligence are converging on the need for representations that are at once distributed, ...
Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.
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