Results 241 to 250 of about 233,327 (304)

Optimal Reactive Balance Training Characteristics Poststroke: Secondary Analysis of a Clinical Trial. [PDF]

Physiother Res Int
Faria JO, Danells CJ, Inness EL, Mansfield A.   +3 more
europepmc   +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

PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards. [PDF]

Sci Adv
Song X, Deng K, Chen M, Guan Y.
europepmc   +1 more source

Field output correction factors and perturbation factor analysis for novel SunSILICON and SunSILICON P silicon diode detectors. [PDF]

J Appl Clin Med Phys
Schönfeld AA, Alissa M, Towle D, Murray A, Schönfeld AB, Anders TJ, Alquist E, Evrard O, Rosenwald C, Hildreth J, Flatten V, Wessing G, Habib C, Czarnecki D.   +13 more
europepmc   +1 more source

A systematic evaluation of explainable AI methods for high-dimensional transcriptome-based cancer survival prediction. [PDF]

Front Physiol
Zuo Y, Yang S, Zhao W.
europepmc   +1 more source

Acute effect of continuous perturbations of the base of support on reactive balance response. [PDF]

Sci Rep
Rizzato A, Bozzato M, Faggian S, Zullo G, Breban SG, Paoli A, Paillard T, Marcolin G.   +7 more
europepmc   +1 more source

Fibrosis versus plasticity: a tensegrity-based framework for acupuncture as an exploratory modulator of tissue recovery. [PDF]

Front Physiol
Carballo A.
europepmc   +1 more source

The prospective efficacy of stumble recovery responses in a powered knee prosthesis. [PDF]

Front Robot AI
King ST, Eveld ME, Zelik KE, Goldfarb M.
europepmc   +1 more source