Results 151 to 160 of about 312,321 (283)

Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks. [PDF]

Phys Rev X
Clark DG, Marschall O, van Meegen A, Litwin-Kumar A.   +3 more
europepmc   +1 more source

Weight-Space Linear Recurrent Neural Networks [PDF]

Roussel Desmond Nzoyem, Nawid Keshtmand, Eduardo Fernández, Idriss Tsayem, Raúl Santos‐Rodríguez, David A. W. Barton, Tom Deakin   +6 more
openalex   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Competition and cooperation of assembly sequences in recurrent neural networks. [PDF]

PLoS Comput Biol
Stöber TM, Lehr AB, Nikzad A, Ganjtabesh M, Fyhn M, Kumar A.   +5 more
europepmc   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Taming the chaos gently: a predictive alignment learning rule in recurrent neural networks. [PDF]

Nat Commun
Asabuki T, Clopath C.
europepmc   +3 more sources

Stochastic activity in low-rank recurrent neural networks. [PDF]

PLoS Comput Biol
Mastrogiuseppe F, Carmona J, Machens CK.
europepmc   +1 more source

Construction of Personalized Movie Recommendation Model Relying on Recurrent Neural Network

Et al. Qin Xie
openalex   +2 more sources

Simplified Gating in Long Short-term Memory (LSTM) Recurrent Neural Networks [PDF]

, 2017
Yuzhen Lu, Fathi M. Salem
openalex   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source