Results 71 to 80 of about 240,908 (240)

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 Programmable Single-Phase Multilevel Current Source Inverter

IEEE Access, 2019
The conventional single-phase multilevel current source inverters suffer from the high count of switches for increasing the levels. Therefore, how to generate more levels with reduced-count of switches is attractive.
Xiaoqiang Guo, Yu Bai, Baocheng Wang
doaj   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Técnicas de modulação síncrona otimizada para a melhoria de desempenho de conversores multiníveis no acionamento de máquinas elétricas [PDF]

, 2015
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica, Florianópolis, 2015Com o crescente interesse da indústria em inversores multiníveis de alta potência para aplicações em média
Lago, Jackson
core  

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 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

Simulation of Single-Phase Cascade Multilevel PWM Inverters [PDF]

Journal of Electrical and Electronics Engineering, 2008
This paper presents simulation of a single –phase cascade multilevel PWM inverter topology.Solution is based on series connection of 3 level diodeclamped inverters modules and flying capacitor invertermodules, which gives possibility for flexible ...
Felicia Şchiop, Adrian Şchiop
doaj  

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

Dual‐Timescale 3D Synaptic Pillars: Monolithic Integration of Volatile and Nonvolatile Functions for Advanced Neuromorphic Computing

Advanced Intelligent Systems, EarlyView.
A 3D vertically integrated synaptic pillar with an n–p–n–p–n channel is proposed within a compact footprint for neuromorphic computing. By combining volatile 1T‐DRAM and non‐volatile SONOS tiers, the system mitigates refresh power overhead. Optimized by an adaptive dynamic pulse scheme, the device achieves high linearity and 87% MNIST classification ...
Eungi Hwang, Ilho Myeong, Sangwan Kim, Garam Kim   +3 more
wiley   +1 more source

COMPARATIVE STUDY OF TRADITIONAL PWM INVERTERS AND MULTILEVELS INVERTERS

Journal of Engineering
The need of higher powers in electrical drives has forced the researchers to develop new power source possibilities. Multilevel inverters have been presented as a cost effective solution for various high voltage and high power applications including ...
K. S. Krikor, Khalid I. Alnaimi, Jamal Abdul-Kareem Mohammed   +2 more
doaj   +1 more source