Results 181 to 190 of about 2,664,241 (285)

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Cerebellar microcircuits enable robust evidence-based decisions through cortico-cerebellar coupling. [PDF]

Proc Natl Acad Sci U S A
Bao Y, Yu L, Lu L, Yang Z, Zang Y.
europepmc   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

Intracortical Microstimulation in Brain-Computer Interfaces: Evoking Perception and Plasticity. [PDF]

Cyborg Bionic Syst
Hu P, Chen C, Zang Y, Li X, Ming D.
europepmc   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Estimated pulse wave velocity, dementia risk, and vascular aging phenotypes: a <i>post-hoc</i> analysis of the SPRINT-MIND trial in the United States. [PDF]

J Geriatr Neurol
Nyirenda N, Chihota B, Bolaji O, Forde AT, Stafford P, Ashur N, Bilchick KC, Phiri J, Kabwe JC, Brewer LC, Mubanga M, Mohammed SF, Breathett K, Raju M, Vidic A, Mehta N, Lin E, Saylor D, Addison D, Kwon Y, Mazimba S.   +20 more
europepmc   +1 more source

Beyond Charge: Field‐Effect Transistors in Multimodal Biosensing Platforms for Biomolecular Interaction Studies

Advanced Electronic Materials, EarlyView.
This review summarizes the developments in field‐effect transistor (FET)‐based dual‐mode sensor platforms and what can be learned from them. It identifies charge as a crucial factor in biomolecular interactions at interfaces, outlines the challenges of hybrid systems, and highlights their benefits.
Roger Hasler, Ciril Reiner‐Rozman, Christoph Kleber, Jakub Dostalek, Wolfgang Knoll   +4 more
wiley   +1 more source

An Adaptive Detection Algorithm for Non-Uniform Sea Clutter Background Targets Based on Iterative Weighting and Sample Purification. [PDF]

Sensors (Basel)
Su H, Zhang L, Zhao C, Li K.
europepmc   +1 more source

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

Choice overload constrains mate choice independent of energetic masking. [PDF]

iScience
Hemingway CT, Rodrigues AV, Vélez A, Tanner JC.   +3 more
europepmc   +1 more source