Results 101 to 110 of about 6,198,210 (289)

Neural Architecture Search (NAS)

Neural Architecture Search ...
Ioannis Kourouklides
core   +1 more source

Neural Architecture Search [PDF]

, 2019
Deep Learning has enabled remarkable progress over the last years on a variety of tasks, such as image recognition, speech recognition, and machine translation. One crucial aspect for this progress are novel neural architectures. Currently employed architectures have mostly been developed manually by human experts, which is a time-consuming and error ...
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter   +2 more
openaire   +1 more source

Multimodal Optoelectronic Synapses for Neuromorphic Intelligence: Coupling Light, Electrical, Thermal, and Beyond

Advanced Functional Materials, EarlyView.
This review revisits optoelectronic neuromorphic devices that extend from unimodal sensing toward multimodal perception. Five types of stimuli‐to‐output information flow that are classified based on the device roles within the system and applications are summarized and discussed.
Jihyun Shin, Junhyung Cho, Wangmyung Choi, Jaehyun Hur, Jae Kyeong Jeong, Ulrike Kraft, Hocheon Yoo   +6 more
wiley   +1 more source

Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric [PDF]

peer reviewedHardware-aware Neural Architecture Search (HW-NAS) is a technique used to automatically design the architecture of a neural network for a specific task and target hardware.
SINHA, Nilotpal, SHABAYEK, Abd El Rahman, ROSTAMI ABENDANSARI, Peyman, AOUADA, Djamila, KACEM, Anis, SHNEIDER, Carl   +5 more
core   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

Advanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari, Jeppe Don, Lasse A. N. Pedersen, John Noee, Rassoul Tabassian   +4 more
wiley   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Neural architecture search for medicine: A survey

Informatics in Medicine Unlocked
In this article we examined research on using neural architecture search (NAS) in medical applications, prompted by the current shortage of health care professionals relative to patient volumes. We explored the current state of NAS development in various
Sinee Chaiyarin, Napassorn Rojbundit, Panichanok Piyabenjarad, Pimpattra Limpitigranon, Siraprapa Wisitthipakdeekul, Pawaree Nonthasaen, Paniti Achararit   +6 more
doaj   +1 more source

Hardware-Aware Neural Architecture Search

319347The manual search for optimal neural network topologies, like maximizing the accuracy or minimizing the latency, is a time-consuming process that often requires multiple iterations. Depending on the use case, several target objectives are optimized
Loroch, Dominik
core   +1 more source

Human iPSC‐Derived Tissue‐Engineered Nigrostriatal Pathway for Chronic Restoration of Dopaminergic Axon Tracts in a Rat Parkinson's Model

Advanced Healthcare Materials, EarlyView.
Inspired by conventional cell therapy and emerging bioengineering approaches, the tissue‐engineered nigrostriatal pathway (TE‐NSP) has an anatomically‐inspired design comprising a population of human dopaminergic neurons with unidirectional, long‐projecting axon tracts.
Wisberty J. Gordián‐Vélez, Dimple Chouhan, Kevin D. Browne, James Lim, Saarang P. Karandikar, Rodrigo A. España, John E. Duda, H. Isaac Chen, D. Kacy Cullen   +8 more
wiley   +1 more source

Exploiting Operation Importance for Differentiable Neural Architecture Search

, 2021
Recently, differentiable neural architecture search (NAS) methods have made significant progress in reducing the computational costs of NASs. Existing methods search for the best architecture by choosing candidate operations with higher architecture ...
Kung, Sun-Yuan, Zhou, Yuan, Xie, Xukai, Xukai Xie, Yuan Zhou, Sun-Yuan Kung   +5 more
core   +1 more source