Results 111 to 120 of about 142,362 (315)

Emergent Motility of Self‐Organized Particle‐Giant Unilamellar Vesicle Assembly

Advanced Materials, EarlyView.
Giant unilamellar vesicles (GUVs), when combined with silica particles under alternating electric fields, spontaneously self‐assemble into motile structures. Asymmetric particle decoration induces fluid flows that propel the assemblies, enabling persistent motion and reversible control.
Selcan Karaz, Gaurav Gardi, Mertcan Han, Saadet Fatma Baltaci, Mukrime Birgul Akolpoglu, Metin Sitti   +5 more
wiley   +1 more source

Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms [PDF]

, 2017
Yazhen Wang
openalex   +1 more source

Excited State Opto‐Ionic Reservoir Computing in Hybrid Perovskite Electrochemically‐Gated Luminescent Cells

Advanced Materials, EarlyView.
A neuromorphic computing system exploiting opto‐ionic modulation in lead halide perovskite microcrystals demonstrates high‐dimensional reservoir dynamics with diffraction‐limited node resolution. Leveraging ultrafast excited‐state interactions, it achieves efficient computation (800 pJ/node‐operation), robustly distinguishing 4‐bit pulse sequences ...
Philipp Kollenz, Carina Herrle, Leonard Göhringer, Nasrin Solhtalab, Tom Wickenhäuser, Wolfram Pernice, Rüdiger Klingeler, Felix Deschler   +7 more
wiley   +1 more source

Semi-Cyclic Stochastic Gradient Descent

, 2019
We consider convex SGD updates with a block-cyclic structure, i.e. where each cycle consists of a small number of blocks, each with many samples from a possibly different, block-specific, distribution. This situation arises, e.g., in Federated Learning where the mobile devices available for updates at different times during the day have different ...
Eichner, Hubert, Koren, Tomer, McMahan, H. Brendan, Srebro, Nathan, Talwar, Kunal   +4 more
openaire   +2 more sources

Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction [PDF]

, 2016
Zhouyuan Huo, Bin Gu, Heng Huang
openalex   +1 more source

A termination criterion for stochastic gradient descent for binary classification [PDF]

, 2020
Sina Baghal, Courtney Paquette, Stephen A. Vavasis   +2 more
openalex   +1 more source

Stochastic Gradient Descent with Deep Learning-assisted Object Detection and Classification for Visually Challenged People [PDF]

, 2023
Nabil Sharaf Almalki, Mrim M. Alnfiai, Fahd N. Al‐Wesabi, Mesfer Alduhayyem, Anwer Mustafa Hilal, Manar Ahmed Hamza   +5 more
openalex   +1 more source

Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics

Advanced Materials, EarlyView.
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang, Wooseok Lee, Hwa‐Jung Kim, Sohyang Cha, Hosun Shin, Won Bo Lee, Min‐Wook Oh, Yeon Sik Jung, YongJoo Kim   +8 more
wiley   +1 more source

Scaling of hardware-compatible perturbative training algorithms

APL Machine Learning
In this work, we explore the capabilities of multiplexed gradient descent (MGD), a scalable and efficient perturbative zeroth-order training method for estimating the gradient of a loss function in hardware and training it via stochastic gradient descent.
B. G. Oripov, A. Dienstfrey, A. N. McCaughan, S. M. Buckley   +3 more
doaj   +1 more source

Organic Electrochemical Transistors for Neuromorphic Devices and Applications

Advanced Materials, EarlyView.
Organic electrochemical transistors are emerging as promising platforms for neuromorphic devices that emulate neuronal and synaptic activities and can seamlessly integrate with biological systems. This review focuses on resultant organic artificial neurons, synapses, and integrated devices, with an emphasis on their ability to perform neuromorphic ...
Kexin Xiang, Jiajun Song, Hong Liu, Junxin Chen, Feng Yan   +4 more
wiley   +1 more source