Results 51 to 60 of about 278,943 (296)

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Design of Convolutional Neural Networks Architecture for Non-Profiled Side-Channel Attack Detection

Elektronika ir Elektrotechnika, 2023
Deep learning (DL) is a new option that has just been made available for side-channel analysis. DL approaches for profiled side-channel attacks (SCA) have dominated research till now.
Amjed Abbas Ahmed, Mohammad Kamrul Hasan, Shayla Islam, Azana Hafizah Mohd Aman, Nurhizam Safie   +4 more
doaj   +1 more source

CNN-LSTM model architecture.

, 2022
CNN-LSTM model architecture.
Beakcheol Jang (5593799), Jaewon Chung (14164856)   +1 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Method for visual analysis of driver's face for automatic lip-reading in the wild

Компьютерная оптика, 2022
The paper proposes a method of visual analysis for automatic speech recognition of the vehicle driver. Speech recognition in acoustically noisy conditions is one of big challenges of artificial intelligence. The problem of effective automatic lip-reading
A.A. Axyonov, D.A. Ryumin, A.M. Kashevnik, D.V. Ivanko, A.A. Karpov   +4 more
doaj   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source

Deep Learning Convolutional Neural Network for SARS-CoV-2 Detection Using Chest X-Ray Images

Acta Informatica Pragensia, 2023
The COVID-19 coronavirus illness is caused by a newly discovered species of coronavirus known as SARS-CoV-2. Since COVID-19 has now expanded across many nations, the World Health Organization (WHO) has designated it a pandemic.
Ali Mohammed Saleh Ahmed, Inteasar Yaseen Khudhair, Salam Abdulkhaleq Noaman   +2 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

10 Jahre danach: Der Irak-Krieg 2003 und das (Medien-) Schlachtfeld II

Medienimpulse, 2013
Hinsichtlich der Informationsstrategie der US-Administration von George W. Bush und des US-–Militärs im Zuge des Irak-Krieges 2003, lässt sich eine gut geplante und organisierte PR feststellen.
Karl H. Stingeder
doaj   +1 more source

Subtractor-Based CNN Inference Accelerator

, 2022
This paper presents a novel method to boost the performance of CNN inference accelerators utilizing subtractors. The proposed CNN preprocessing accelerator relies on sorting, grouping, and rounding the weights in order to create combinations that allow ...
Gao, Xiaohang
core