Results 61 to 70 of about 38,453 (306)

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

AirScript - Creating Documents in Air

, 2017
This paper presents a novel approach, called AirScript, for creating, recognizing and visualizing documents in air. We present a novel algorithm, called 2-DifViz, that converts the hand movements in air (captured by a Myo-armband worn by a user) into a ...
Afzal, Muhammad Zeshan, Ahmed, Sheraz, Dash, Ayushman, Dengel, Andreas, Gamboa, John Cristian Borges, Malik, Muhammad Imran, Sahu, Amit, Shringi, Rajveer   +7 more
core   +1 more source

Dynamic mass estimation framework for autonomous vehicle system via bidirectional gated recurrent unit

IET Control Theory & Applications, 2023
The precise estimation of vehicle mass is crucial for the optimal performance of electronic control systems in autonomous vehicles. However, the nonlinear nature of vehicle dynamics makes it a challenging task to estimate the mass accurately. In response
Hui Zhang, Zichao Yang, Jun Shen, Zhineng Long, Huiyuan Xiong   +4 more
semanticscholar   +1 more source

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

Advanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon, Dong Ho Lee, Seyoung Oh, Jongwon Yoon, Hyo‐Bae Kim, Ji‐Hoon Ahn, Woojin Park, Han Seul Kim, Byungjin Cho   +8 more
wiley   +1 more source

Localization of Myocardial Infarction With Multi-Lead Bidirectional Gated Recurrent Unit Neural Network

IEEE Access, 2019
Myocardial infarction (MI) is an acute disease. Early detection and early treatment are of great significance for improving the health of people. In order to reduce the misdiagnosis rate of MI diseases, this paper proposes a multi-lead bidirectional ...
Xingjin Zhang, Runchuan Li, Honghua Dai, Yongpeng Liu, Bing Zhou, Zongmin Wang   +5 more
doaj   +1 more source

State-of-Health Prediction for Lithium-Ion Batteries based on Empirical Mode Decomposition and Bidirectional Gated Recurrent Unit Neural Network Optimized by Slime Mould Algorithm

Journal of the Electrochemical Society, 2023
State-of-health prediction of lithium-ion batteries has been a popular research subject in recent years. Accurate state-of-health prediction plays an especially significant role in battery management systems.
Jing Sun, Xiaodong Zhang
semanticscholar   +1 more source

A Van der Waals Optoelectronic Synapse with Tunable Positive and Negative Post‐Synaptic Current for Highly Accurate Spiking Neural Networks

Advanced Functional Materials, EarlyView.
A van der Waals optoelectronic synaptic device based on a ReS2/WSe2 heterostructure and oxygen‐treated h‐BN is presented, which enables both positive and negative PSCs through photocarrier polarity reversal. Bidirectional plasticity arises from gate‐tunable band bending and charge trapping‐induced quasi‐doping.
Hyejin Yoon, Soeun Park, Yeong Kwon Kim, Juhwan Baek, Ki Han Kim, Seongil Yun, Hyeonchang Son, Jeongeun Choi, Byung Chul Jang, Dong‐Ho Kang   +9 more
wiley   +1 more source

Light Gated Recurrent Units for Speech Recognition

, 2018
A field that has directly benefited from the recent advances in deep learning is Automatic Speech Recognition (ASR). Despite the great achievements of the past decades, however, a natural and robust human-machine speech interaction still appears to be ...
Bengio, Yoshua, Brakel, Philemon, Omologo, Maurizio, Ravanelli, Mirco   +3 more
core   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Multibit Ferroelectric HfZrO Memcapacitor for Non‐Volatile Analogue Memory and Reconfigurable Electronics

Advanced Functional Materials, EarlyView.
Ferroelectric memcapacitors enable non‐volatile, voltage‐programmable capacitance tuning for adaptive electronics. A TiN/HfZrO/TiN device stack demonstrates more than eight stable capacitance states within a 24 pF memory window in compact 60 ×$\times$ 60 μm2$\umu{\rm m}^{2}$ devices at low operating voltages.
Deepika Yadav, Spyros Stathopoulos, Patrick Foster, Andreas Tsiamis, Mohamed Awadein, Hannah Levene, Themis Prodromakis   +6 more
wiley   +1 more source