Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...
Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
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 research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
Studying one of the simplest animals, Stanford's Prakash Lab uncovered how it folds itself into complex shapes—revealing new ...
So do we really need one amp sim package? Neural DSP thinks we do, because the Finnish company just dropped a major new ...
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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, structureless data. Yet when trained on datasets with structure, they learn the ...
About ten years ago, scientists began exploring an unconventional idea for studying the brain: using bioluminescent light to make neural activity visible. Instead of shining light onto the brain from ...
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