Results 201 to 210 of about 7,309,117 (293)

WaveMamba-Net: Dual-frequency adaptive wavelet state-space network for real-time pulse signal classification in wearable health monitoring. [PDF]

iScience
Wu J, Bai Y, Feng L.
europepmc   +1 more source

Interface‐Mediated Self‐Rectifying CsCuCl3 Memristors With Tunable Thresholds for Reconfigurable Neuromorphic Computing

Advanced Science, EarlyView.
Interface‐mediated CsCuCl3 memristors achieve self‐rectification and tunable thresholds, enabling selector‐free 8 × 8 arrays with > 105 ON/OFF and > 104 rectification. Supporting dual‐mode neuromorphic computing, negative thresholds preserve low‐light recognition accuracy (91%), while positive thresholds enable sparsity‐aware edge computing.
Qingwei Shi, Mufan Zhu, Song He, Zhen Yan, Yuezhong Lu, Shuaidi Wu, Wenju Xie, Xiaofeng Wang, Baochang Cheng, Jie Zhao   +9 more
wiley   +1 more source

Grain Boundary Enabled Diamond Memristor. [PDF]

Adv Mater
Sun G, Li X, Huang W, Han Y, Yan W, Wang X, Guo Y, Chen D, Cheng S, Shan C.   +9 more
europepmc   +1 more source

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

Programmable photonic neural engine with all-optical nonlinear activation and 40,000 connections. [PDF]

Sci Adv
Sun H, Zhu X, Azaña J.
europepmc   +1 more source

Ultra‐Low Power Consumption and Highly Durability in Sm:HfO2 Thin Film Ferroelectric Memristor for Edge Detection

Advanced Electronic Materials, EarlyView.
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li, YongRui Wang, Weifeng Zhang, Jikang Xu, Xiaobing Yan   +4 more
wiley   +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

Radar Sensor Signal Deinterleaving Through the Use of a Hypergeometrical Divide Algorithm Adapted to Pulse Clustering. [PDF]

Sensors (Basel)
Rybak Ł, Dudczyk J, Olszewski J.
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

All-Optically Controlled Memristive Reservoir Computing Capable of Bipolar and Parallel Coding. [PDF]

Nat Commun
Hu L, Jiao D, Wang K, Cheng P, Wang J, Al-Madani H, Zhang L, Vasilakos AV, Chai Y, Ye Z, Zhuge F.   +10 more
europepmc   +1 more source