Results 171 to 180 of about 5,483,449 (298)

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

EEG-based emotion recognition using 4D convolutional recurrent neural network. [PDF]

Cogn Neurodyn, 2020
Shen F, Dai G, Lin G, Zhang J, Kong W, Zeng H.   +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

A New Spiking Convolutional Recurrent Neural Network (SCRNN) With Applications to Event-Based Hand Gesture Recognition. [PDF]

Front Neurosci, 2020
Xing Y, Di Caterina G, Soraghan J.
europepmc   +1 more source

Multi‐Omics Integration Identifies a CDH3‐Associated Malignant Epithelial State and Immunosuppressive Niche to Predict Prognosis in Thymic Epithelial Tumors

Advanced Science, EarlyView.
Single‐cell, spatial, molecular, and pathology analyses identify a CDH3‐associated malignant epithelial state in thymic epithelial tumors. This state links stem‐like and EMT programs to M2 macrophage–rich immunosuppressive niches, genomic instability, poor survival, and drug vulnerability.
Yuntao Feng, Jingyu Chen, Lang Xia, Tao Wang, Yuzhou Wang, Lei Zhang, Guofang Zhao, Long Xu, Juemin Yu, Yunlang She, Junqi Wu, Yue Zhao, Chang Chen, Deping Zhao   +13 more
wiley   +1 more source

Predicting spatial esophageal changes in a multimodal longitudinal imaging study via a convolutional recurrent neural network. [PDF]

Phys Med Biol, 2020
Wang C, R Alam S, Zhang S, Hu YC, Nadeem S, Tyagi N, Rimner A, Lu W, Thor M, Zhang P.   +9 more
europepmc   +1 more source

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

Advanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo, Qianqian Zhang, Chenhao Wang, Zhiheng Yi, Alex Jinpeng Wang, Jing Tang, Min Li   +6 more
wiley   +1 more source

Gate‐Tunable Polarity‐Reconfigurable Photovoltaic Response With Dual Linearity in NbS3/WSe2 Heterostructures for In‐Sensor Image Processing

Advanced Science, EarlyView.
An NbS3/WSe2 van der Waals heterostructure realizes a continuously gate‐tunable self‐powered photovoltaic response through interfacial band‐alignment modulation and reversible built‐in electric‐field switching. The short‐circuit photocurrent scales linearly with incident power density, while short‐circuit photoresponsivity varies linearly with gate ...
Jidong Liu, Jianxiong Xie, Qiaoyan Hao, Yutao Hu, Zhen He, Haolin Liu, Danting Lin, Haibo Gan, Yudi Tu, Wenjing Zhang   +9 more
wiley   +1 more source

CONVOLUTIONAL RECURRENT NEURAL NETWORK BASED DIRECTION OF ARRIVAL ESTIMATION METHOD USING TWO MICROPHONES FOR HEARING STUDIES. [PDF]

IEEE Int Workshop Mach Learn Signal Process, 2020
Küçük A, Panahi IMS.
europepmc   +1 more source

Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics

Advanced Science, EarlyView.
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka, Bushra Raahat, Spyros Tragoudas, Hui Li   +3 more
wiley   +1 more source