Results 221 to 230 of about 1,099,722 (325)

Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion [PDF]

, 2018
Kaiyi Ji, Jian Tan, Jinfeng Xu, Yuejie Chi   +3 more
openalex   +1 more source

Synchrotron Radiation for Quantum Technology

Advanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader, Sakura Pascarelli, Klaus Attenkofer, Anna A. Makarova, Karsten Holldack, Kai Rossnagel, Kristiaan Temst, George Kourousias, Stefano Carretta, Caterina Biscari, Helmut Dosch   +10 more
wiley   +1 more source

Effectiveness of learning to rank for finding user similarity in social media [PDF]

, 2012
Demeester, Thomas, Develder, Chris, Hoang Van Duc, Thong, Shin, Hyoseop   +3 more
core  

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

Advanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

Gated spiking neural network using Iterative Free-Energy Optimization and rank-order coding for structure learning in memory sequences (INFERNO GATE)

, 2019
Alexandre Pitti, Mathias Quoy, Catherine Lavandier, Sofiane Boucenna   +3 more
openalex   +2 more sources

Multi-focus Image Fusion Using Dictionary Learning and Low-Rank Representation [PDF]

, 2017
Hui Li, Xiao-Jun Wu
openalex   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Supplementary material to the manuscriptSI : Low-rank matrix and tensor approximations for compression of machine-learning interatomic potentials

Igor Vorotnikov, Fedor Romashov, Nikita Rybin, Maxim Rakhuba, Ivan S. Novikov   +4 more
openalex   +1 more source

Adaptive Content-Aware Influence Maximization via Online Learning to Rank [PDF]

Konstantinos Theocharidis, Panagiotis Karras, Manolis Terrovitis, Spiros Skiadopoulos, Hady W. Lauw   +4 more
openalex   +1 more source