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Using geometry and physics to explain feature learning in deep neural networks
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...
Atomic-level simulations reveal new class of protein misfolding in high definition
New computer simulations that model every atom of a protein as it folds into its final three-dimensional form support the ...
Semiconductor Engineering5d
SpiNNaker2 Neuromorphic Platform: HW-Aware Fine-Tuning of Spiking Q-Networks (TU Dresden Et Al.)
Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform” was published by researchers at TU Dresden, ...
From Humanoids To Driverless Cars: Why The Next Rung On The AI Ladder Will Require A New Kind Of Network
As inference workloads move into physical environments, latency becomes a liability, a variable that can’t be abstracted away ...
Frontiers5d
Network control of fear and goal-directed behavior
Recent methodological advances have enabled the control and visualization of large populations of neurons across multiple brain structures, allowing ...