Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
The world’s most powerful supercomputers can now run simulations of billions of neurons, and researchers hope such models ...
AI chipsets are transforming global tech by embedding intelligence in electronics, revolutionizing business functions like cybersecurity and automation. Demand drives innovation in memory and ...
Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
To study how a key chemical neuromodulator affects signaling in the brain's cortex, Garrett Neske, PhD, has received a three-year, $300,000 grant from the Whitehall Foundation, a nonprofit ...
First discovered in the 1950s, NGF is now known to direct the growth, maintenance, proliferation and preservation of neurons ...
When a baby smiles at you, it's almost impossible not to smile back. This spontaneous reaction to a facial expression is part ...
The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...
Abstract: Digital predistortion (DPD) has proven to be an efficient method of linearizing power amplifiers (PAs). In recent years, the use of neural networks (NNs) for DPD has gained momentum. This ...
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