Results 91 to 100 of about 8,736,022 (255)

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Gaussian Processes with Bayesian Inference of Covariate Couplings

Publisher Copyright: © 2025, Transactions on Machine Learning Research. All rights reserved.Gaussian processes are powerful probabilistic models that are often coupled with Automatic Relevance Determination (ard) capable of uncovering the importance of ...
Rosso, Mattia, Filippone, Maurizio, Ylä-Jääski, Juho, Heinonen, Markus, Shen, Zheyang   +4 more
core  

Learning Augmented Optimization: Faster, Better and Guaranteed

, 2019
Presented on November 20, 2019 at 12:15 p.m. in the Marcus Nanotechnology Building, Room 1116.Zhangyang (Atlas) Wang is an Assistant Professor of Computer Science and Engineering at Texas A&M University. Dr.
Wang, Zhangyang
core  

Foundations and Advances of Machine Learning in Official Statistics

This Open access book gives an overview of current research and developments on the incorporation of machine learning in official statistics. It covers methodological questions, practical aspects and cross-cutting issues.

core   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Active Learning: From Linear Classifiers to Overparameterized Neural Networks

, 2020
Presented online on October 7, 2020 at 12:15 p.m.Robert Nowak holds the Nosbusch Professorship in Engineering at the University of Wisconsin-Madison, where his research focuses on signal processing, machine learning, optimization, and statistics.Runtime:
Nowak, Robert
core  

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 more
wiley   +1 more source

New algorithms for learning incoherent and overcomplete dictionaries

, 2013
In sparse recovery we are given a matrix A∈R[superscript n×m] (“the dictionary”) and a vector of the form AX where X is sparse, and the goal is to recover X. This is a central notion in signal processing, statistics and machine learning.
Arora, Sanjeev, Ge, R, Ankur Moitra, Moitra, A, Sanjeev Arora, Rong Ge, Ge, Rong, Moitra, Ankur   +7 more
core  

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

Advanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies, Bin Han, Paolo Samorì   +2 more
wiley   +1 more source