Results 271 to 280 of about 732,831 (345)

Disturbance‐Aware On‐Chip Training with Mitigation Schemes for Massively Parallel Computing in Analog Deep Learning Accelerator

open access: yesAdvanced Science, EarlyView.
This study proposes novel operational schemes to solve the write disturbance issues in oxide‐semiconductor and capacitor‐based synaptic devices (6T1C devices). These schemes effectively neutralize disturbances, enabling high‐performance on‐chip training of convolutional neural networks and reducing capacitor size over 100 times.
Jaehyeon Kang   +6 more
wiley   +1 more source

Nonlinear stochastic differential equations

open access: yesJournal of Mathematical Analysis and Applications, 1976
openaire   +2 more sources

DiffMC‐Gen: A Dual Denoising Diffusion Model for Multi‐Conditional Molecular Generation

open access: yesAdvanced Science, EarlyView.
DiffMC‐Gen, a dual‐diffusion model for 2D and 3D molecular generation, simultaneously optimizes multiple key objectives across the drug design process, enabling the generation of novel, target‐specific small‐molecule ligands with high therapeutic potential.
Yuwei Yang   +7 more
wiley   +1 more source

Microglial MS4A4A Protects against Epileptic Seizures in Alzheimer's Disease

open access: yesAdvanced Science, EarlyView.
This study has unveiled significant new insights into the role of MS4A4A in Alzheimer's disease‐related epilepsy, highlighting its impact on microglial phagocytosis, mitochondrial metabolism, and cytoskeleton, and demonstrating its therapeutic potential in epilepsy management.
Meng Jiang   +10 more
wiley   +1 more source

Control of Overfitting with Physics. [PDF]

open access: yesEntropy (Basel)
Kozyrev SV, Lopatin IA, Pechen AN.
europepmc   +1 more source

All‐Electrical Control of Spin Synapses for Neuromorphic Computing: Bridging Multi‐State Memory with Quantization for Efficient Neural Networks

open access: yesAdvanced Science, EarlyView.
This study develops three all‐electrically controlled, field‐free spintronic synapse devices for neuromorphic computing. The tilted anisotropy device achieves an 11‐state memory with minimal cycle‐to‐cycle variation (2%), enabling high‐accuracy neural network quantization (81.51% in ResNet‐18). These findings position spintronic synapses as a promising
Tzu‐Chuan Hsin   +4 more
wiley   +1 more source

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