Many intelligent applications and systems, including biomedical hardware and devices, require humancomputer interaction technology. This technology enables ...
Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.
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 neural network is better viewed as a collection of multiple optimisation processes, each with its own internal memory.
Recent advances in neuroscience, cognitive science, and artificial intelligence are converging on the need for representations that are at once distributed, ...
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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 ...
Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...
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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, ...
WASHINGTON, August 29, 2023 – With their intricate arrangements and dynamic functionalities, proteins perform a plethora of biological tasks by employing unique arrangements of simple building blocks ...
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