Results 191 to 200 of about 4,648,552 (299)

Dynamics of cascades on burstiness-controlled temporal networks. [PDF]

Nat Commun, 2021
Unicomb S, Iñiguez G, Gleeson JP, Karsai M.   +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

Adaptive Dual Reinforcement Learning for Hybrid Spatial-Temporal Networks in RIS-Assisted Indoor Localization (ADRL-HSTNet). [PDF]

Sensors (Basel)
Mohamed M, Radi A, Zahran S.
europepmc   +1 more source

The inherent uncertainty of temporal networks is a true challenge for control. [PDF]

Sci Rep, 2021
De Lellis P, Di Meglio A, Garofalo F, Lo Iudice F.   +3 more
europepmc   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Imaging versus electrographic connectivity in human mood-related fronto-temporal networks. [PDF]

Brain Stimul, 2022
Adkinson JA, Tsolaki E, Sheth SA, Metzger BA, Robinson ME, Oswalt D, McIntyre CC, Mathura RK, Waters AC, Allawala AB, Noecker AM, Malekmohammadi M, Chiu K, Mustakos R, Goodman W, Borton D, Pouratian N, Bijanki KR.   +17 more
europepmc   +1 more source

Reconstructing Networks using Co-temporal Functions ∗ ABSTRACT

, 2008
Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathematical invariants over time series data.
Anthony Pecorella, Edward E. Allen
core  

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Fast and exact stochastic simulations of epidemics on static and temporal networks. [PDF]

PLoS Comput Biol
Cure S, Pflug FG, Pigolotti S.
europepmc   +1 more source

Fast and principled simulations of the SIR model on temporal networks. [PDF]

PLoS One, 2021
Holme P.
europepmc   +1 more source