Results 131 to 140 of about 440,724 (260)
Synthesizer: Chemistry‐Aware Machine Learning for Precision Control of Nanocrystal Growth
Advanced Materials, EarlyView.A new, data‐efficient approach to CsPbBr3 nanocrystal optimization combines chemical and physical insights with a Gaussian Process‐based machine learning algorithm. Implementation of the “Synthesizer” enables nm‐precise tuning of the emission wavelength while reducing experimental load in optimizing peak narrowness and photoluminescence quantum yield ...
Nina A. Henke +11 more
wiley +1 more source
Physical Intelligence in Small‐Scale Robots and Machines
Advanced Materials, EarlyView.“Physical intelligence” (PI) empowers biological organisms and artificial machines, especially at the small scales, to perceive, adapt, and even reshape their complex, dynamic, and unstructured operation environments. This review summarizes recent milestones and future directions of PI in small‐scale robots and machines.
Huyue Chen, Metin Sitti
wiley +1 more source
Three types of incremental learning. [PDF]
Nat Mach Intell, 2022 van de Ven GM, Tuytelaars T, Tolias AS.
europepmc +1 more source
Advanced Materials, EarlyView.Herein, a systematic digital twin workflow tailored for generating high‐fidelity virtual representations of anisotropic composite microstructures and giga‐voxel meso‐structural models is presented, leveraging a harmonious integration of top–down image‐based modeling and bottom–up data‐driven voxel generation.
Siwon Yu +7 more
wiley +1 more source
Task-Incremental Learning for Drone Pilot Identification Scheme. [PDF]
Sensors (Basel), 2023 Han L, Zhong X, Zhang Y.
europepmc +1 more source
Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array
Advanced Materials, EarlyView.This study presents a hardware physical reservoir computing system using a tri‐modal memristive crossbar array. Stochastic masking, bistable nonlinear activation, and analog readout enable fully in‐memory spatiotemporal processing. Demonstrations on cellular automata, Lorenz prediction, ADHD EEG classification, and chaotic KS modeling highlight its ...
Sungho Kim +10 more
wiley +1 more source
Incremental Learning for Online Data Using QR Factorization on Convolutional Neural Networks. [PDF]
Sensors (Basel), 2023 Kim J, Lee W, Baek S, Hong JH, Lee M.
europepmc +1 more source
Decision letter: Tracking cell lineages in 3D by incremental deep learning
, 2021 Asim Iqbal, Christian Tischer
openalex +1 more source
Advanced Materials, EarlyView.Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho +9 more
wiley +1 more source