Results 251 to 260 of about 6,198,210 (289)
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation. [PDF]
Nath U, Wang Y, Turaga P, Yang Y.
europepmc +1 more source
Battery‐Inspired Electrochemical Synapses for Neuromorphic Applications
Battery‐ion‐inspired synaptic devices integrate diverse electrolyte systems (solid, ion‐gel, liquid) with transition metal oxides, two‐dimensional materials, and organic channels to regulate ion‐electron coupling. By tailoring ion transport and host interactions, these platforms enable controllable plasticity and energy‐efficient implementations for ...
Won Woo Lee +6 more
wiley +1 more source
Neural architecture search via progressive partial connection with attention mechanism. [PDF]
Jin C, Huang J, Chen Y.
europepmc +1 more source
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
Deep Learning and Neural Architecture Search for Optimizing Binary Neural Network Image Super Resolution. [PDF]
Su Y, Ang LM, Seng KP, Smith J.
europepmc +1 more source
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley +1 more source
ESC-NAS: Environment Sound Classification Using Hardware-Aware Neural Architecture Search for the Edge. [PDF]
Ranmal D +4 more
europepmc +1 more source
Schematic illustration of development of experimental datasets and algorithm models, screening and preparation of the scaffolds and their applications in vivo. ABSTRACT Bone defects require materials with osteogenic, neurogenic, and angiogenic activity, yet designing such materials within high‐dimensional compositional spaces remains challenging. Here,
Kunlu Lin +9 more
wiley +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source

