Results 221 to 230 of about 12,640,042 (291)

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
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, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Compositional neurosymbolic representations enable efficient active exploration. [PDF]

Nat Commun
Furlong PM, Dumont NS, Antonova R, Orchard J, Eliasmith C.   +4 more
europepmc   +1 more source

Grain Boundary Structure Ordering via Electroshock Treatment Enhances Strength‐Ductility Synergy

Advanced Science, EarlyView.
Electroshock treatment triggers atomic rearrangement, transforming disordered grain boundaries into ordered states without inducing recrystallization. This grain boundary ordering effectively relieves strain concentration and strengthens boundaries, enabling a simultaneous improvement in both strength and ductility.
Jiancheng Chen, Feng Wang, Dongsheng Qian, Huiling Wang, Jinsong Wu, Mingwang Fu, Lin Hua   +6 more
wiley   +1 more source

Hardware-Aware Quantum Kernel Design Based on Graph Neural Networks. [PDF]

Entropy (Basel)
Meng F, Liu Y, Wang L, Li S, Han Z, Liu L.   +5 more
europepmc   +1 more source

Analog Synaptic Plasticity in 2D Layered Material Iontronic Memtransistors for Brain‐Inspired Computing

Advanced Science, EarlyView.
In this work, we demonstrated a robust 2D MoS2 based iontronic memtransistor of planar architecture operated under the influence of an electrical double layer with versatile performance and applications, including pinched hysteresis nature of transfer curve, analogue channel conductance tuning, low‐voltage operation, logic‐gate operation, classical ...
Puranjay Saha, Saptarshi Bej, Bikas C. Das   +2 more
wiley   +1 more source

Evaluation of deep-learning iterative reconstruction combined with high-frequency kernels in CT: a task-based image quality study. [PDF]

Eur Radiol Exp
Viry A, Monnin P, Pozzessere C, Racine D.   +3 more
europepmc   +1 more source

Fusing Direct and Indirect Measurements Through Multi‐Fidelity Learning For Accelerated Electrocaloric Materials Discovery

Advanced Science, EarlyView.
A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Bo Wang, Pengfei Dang, Yuan Tian, Zhengwang He, Wei Gu, Lixue Zhang, Turab Lookman, Yumei Zhou, Dezhen Xue   +8 more
wiley   +1 more source

A decoupled alignment kernel for peptide membrane permeability predictions. [PDF]

J Cheminform
Amirahmadi A, Geylan G, De Maria L, Etminani F, Ohlsson M, Tibo A.   +5 more
europepmc   +1 more source

Adaptive Kernel Learning for Kernel Methods

Kernel methods represent a powerful class of machine learning algorithms, renowned for their ability to capture complex, non-linear relationships within data. However, a significant limitation has historically been the reliance on manual kernel selection – a process that demands substantial domain expertise and often results in suboptimal performance ...
openaire   +1 more source

STWave: Fine‐Scale Spatial Structure Discovery in Microscopic‐Resolution Spatial Transcriptomics via Patchwise Wavelet Graphs

Advanced Science, EarlyView.
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang, Songming Zhang, Xiaofeng Chen, Xiongtao Xiao, Wenming Cao, Weikai Li, Tong Zhao, Bing Li, Xinyue Xu, Zhongshan Li   +9 more
wiley   +1 more source