Results 51 to 60 of about 25,587 (261)

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

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

Magnesium‐Based Transient Bioelectronics, Bio‐Optics and Bio‐Scaffolds

Advanced Functional Materials, EarlyView.
This paper reviews the state of the art and recent advances in magnesium‐based thin‐film, foils, and scaffolds for applications in transient bio‐optics, bioelectronics and tissue engineering. The design principles, fabrication methods, material properties, and integration strategies are discussed in detail.
Massimo Mariello, Yves Leterrier
wiley   +1 more source

FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs

Applied Sciences
Recently, convolutional neural networks (CNNs) have received a massive amount of interest due to their ability to achieve high accuracy in various artificial intelligence tasks.
Mustafa Tasci, Ayhan Istanbullu, Vedat Tumen, Selahattin Kosunalp   +3 more
doaj   +1 more source

Hardware Acceleration of Sparse Support Vector Machines for Edge Computing

Elektronika ir Elektrotechnika, 2020
In this paper, a hardware accelerator for sparse support vector machines (SVM) is proposed. We believe that the proposed accelerator is the first accelerator of this kind.
Vuk Vranjkovic, Rastislav Struharik
doaj   +1 more source

Monolithic Oxidation Enables Ultrathin Vertically Graded Tantalum Oxide for Low‐Voltage, Low‐Variability Memristive Switching

Advanced Functional Materials, EarlyView.
Monolithic UV‐ozone oxidation of Ta forms an ultrathin Ta2O5/TaOx bilayer enabling resistive switching with a vertical defect gradient. A stoichiometric surface layer over an oxygen‐deficient sublayer promotes localized filament nucleation near the top interface, enabling low‐voltage operation, and reduced cycle‐to‐cycle variability.
Seunghoon Yang, Dong Hyun Lee, Conan Weiland, Won‐Il Lee, Kim Kisslinger, Mingzhao Liu, Aswin kumar Anbalagan, Xiao Tong, Soumyajit Mandal, Nikhil Tiwale, Houk Jang, Chang‐Yong Nam   +11 more
wiley   +1 more source

Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing

Advanced Functional Materials, EarlyView.
A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee, Geunyoung Kim, Hwa Young Kim, Do Hoon Kim, Hanchan Song, Huisu Noh, Jungwan Noh, Seungwoo Lee, Sang‐Hee Ko Park, Himchan Cho, Kyung Min Kim   +10 more
wiley   +1 more source

Polarization‐Dependent Synaptic‐Like Electro‐Optical Response in Ferroelectric Nematic Liquid Crystals

Advanced Functional Materials, EarlyView.
Ferroelectric nematic liquid crystals (FNLCs) offer fast, tunable polarization and low‐voltage operation but suffer from poor polarization retention at zero field. Semiconductor‐modified FNLCs enhance polarization retention and exhibit short‐ and long‐term electro‐optical responses, while also supporting spike‐type signal integrations.
Kutay Sagdic, Weiming Yao, Danqing Liu
wiley   +1 more source

Interface‐Defect Synergy Engineering of Amorphous Ga2O3 for Voltage‐Tunable Dual‐Mode Optoelectronic Devices: Self‐Powered Imaging and Neuromorphic Vision

Advanced Functional Materials, EarlyView.
An interface‐defect co‐engineered strategy enables bias‐programmable integration of self‐powered photodetection and low‐power synaptic functionalities within a single‐material amorphous Ga2O3 device. This design achieves reversible switching via voltage modulation, supporting high‐contrast imaging and visual memory, and demonstrates a neuromorphic ...
Wanjun Li, Aijiang Yan, Lijuan Ye, Xuanyu Shan, Chunyan Liu, Hong Zhang, Shuren Zhou, Honglin Li, Di Pang, Yan Tang, Guoping Qin, Zhongqiang Wang, Peng Yu, Zhenxiang Cheng   +13 more
wiley   +1 more source

Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects

IEEE Access
There is a growing interest in portable MRI (pMRI) systems for point-of-care imaging, particularly in remote or resource-constrained environments. However, the computational complexity of pMRI, especially in image reconstruction and machine learning (ML)
Omar Alhabshi, Safa Mohammed Sali, Anis Meribout, Mahmoud Meribout, Saif Almazrouei, Mohamed Lamine Seghier   +5 more
doaj   +1 more source