Results 101 to 110 of about 590,115 (238)

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

A Single Volatile VO2 Memristor Enabling Neuromorphic Perception, Learning, and Computing

Advanced Electronic Materials, EarlyView.
A single volatile VO2 memristor fabricated via atomic layer deposition is demonstrated as a multifunctional neuromorphic device enabled by intrinsic threshold‐switching dynamics. The device reproduces neuron‐like integration and firing, short‐timescale associative learning, temporal ECG pattern classification, and nociceptive responses to electrical ...
Bingkai Ding, Bohao Ding, Omesh Kapur, Yisong Han, Richard Beanland, Kai Sun, C. H. (Kees) de Groot, Ruomeng Huang   +7 more
wiley   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Single‐Step Analog In‐Memory Matrix Computation in Three‐Dimensional Circuits

Advanced Intelligent Systems, EarlyView.
A wooden model illustrates a 3D memristive array designed for single‐step kernel convolutions. It shows how two‐dimensional input data are mapped into the 3D array and convolved in parallel with stored kernels. Color‐coded connection points represent programmed memory‐element values, with each color corresponding to a specific kernel weight.
Alireza Jaberi Rad, Koushik Kumar, Fatemeh Kiani, Yi Huang, Ali Abdel‐Maksoud, Zheshun Xiong, Yunzhi Ling, Wuyu Zhao, Qiangfei Xia   +8 more
wiley   +1 more source

Model Predictive Control of a Modular Multilevel Converter with Reduced Computational Burden

Energies
Recent advances in high-power applications employing voltage source converters have been primarily fuelled by the emergence of the modular multilevel converter (MMC) and its derivatives.
Hussein Kadhum, Alan J. Watson, Marco Rivera, Pericle Zanchetta, Patrick Wheeler   +4 more
doaj   +1 more source

Modeling, Control and Design Considerations for Modular Multilevel Converters

, 2015
This thesis provides insight into state-of-the-art Modular Multilevel Converters (MMC) for medium and high voltage applications. Modular Multilevel Converters have increased in interest in many industrial applications, as they offer the following ...
Najmi, Vahid
core  

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

Fractional-Order Composite Control for Fractional-Order Modular Multilevel Converters

Fractal and Fractional
The existing basic control system of fractional-order modular multilevel converters (FO-MMCs) is mainly designed for ideal operating conditions and exhibits limited adaptability under grid unbalanced conditions. To address this issue, this paper proposes
Yongzeng Xie, Fei Lan, Junhua Xu, Yingheng Li, Fulin Luo   +4 more
doaj   +1 more source

Biomimetic Nanomedicine for Aging‐Impaired Bone Regeneration: From Microenvironmental Dysfunction to Precision Therapeutics

Advanced NanoBiomed Research, EarlyView.
Aging disrupts the cellular, immune, vascular, and neural processes required for bone regeneration. This review connects these pathological barriers with biomimetic nanomedicine design, highlighting strategies for cellular rejuvenation, immune modulation, vascular regeneration, and neuro–bone coupling.
Zeyu Wang, He Zhang, Simo Liu, Rui Wang, Yiran Wei, Kailu Zheng, Yanming Guo, Min Li, Dian Yuan, Yuxin Liu, Lifang Feng, Yongping Ma, Yan Liu   +12 more
wiley   +1 more source

Review on Low-Capacitance Techniques for Modular Multilevel Converters

IEEE Access
Modular multilevel converter (MMC) has been the most competitive solution to the high voltage dc systems and has been applied to multiple scenarios, such as long-distance electricity transmission, renewable energy integration, and interconnection of non ...
Zhengxuan Li, Qingming Xin, Fang Cai, Biyue Huang, Qiang Song, Ziyin Wang, Biao Zhao   +6 more
doaj   +1 more source