IEEE continues to publish articles of the highest quality and impact according to the latest Journal Citation Reports™ from Clarivate Analytics and CiteScore™ metrics by Scopus, as both released their latest reports in June 2024. The latest results demonstrate a collective and consistent high-level of performance across IEEE publications in a wide range of technologies in both open access and hybrid journals. The 2024 report reveals that IEEE journals continue to excel in the rankings in Electrical and Electronic Engineering, Telecommunications, AI, Imaging Science, and more! 🔗 https://loom.ly/UPnvO1k #IEEE #IEEEXplore #JCR #JournalCitationFactor #JournalImpactFactor #IEEEJournals #Telecommunications
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Our new paper, a review of the activities and results in the EU ETN project POSTDIGITAL: A photonics perspective on computing with physical substrates https://lnkd.in/g59fM6sm. With digital technologies taking over the world, it is time to think about post-digital technologies. Why? You will see (or read).
A photonics perspective on computing with physical substrates
sciencedirect.com
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Mathematician | Researcher: Quantum Computing, Number Theory (Automorphic Forms & Representation Theory) | PhD Mathematics, University of Oklahoma | Ex HAL, IBM, and TCS
🚀 Delighted to share my manuscript, "A quantum approach for digital signal processing," published in The European Physical Journal Plus! 📝🔬 This is a joint work with my collaborator, Professor Prakash Vedula from the University of Oklahoma. We introduce a novel quantum algorithm for signal filtering based on the sequency-ordered Walsh–Hadamard transform. Our method significantly reduces gate complexity and circuit depth compared to Quantum Fourier Transform (QFT) and classical Fast Fourier Transform (FFT) based filtering methods. 🌐⚙️ The anonymous referee for the article has noted that the results in the manuscript are inspiring. This breakthrough promises faster computations and efficient resource use across signal processing applications. Read more [Link: https://rdcu.be/dtNs1] to explore the future of quantum-driven signal processing! 📈💡 #QuantumComputing #SignalProcessing #Innovation #EPJPlus #Tech #Research
A quantum approach for digital signal processing - The European Physical Journal Plus
link.springer.com
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Resistive RAM, known as RRAM, was thought to retain information for long periods of time without a power source based on slow oxygen diffusion. MSE researchers revealed that phase separation, when molecules part like oil and water, works alongside oxygen diffusion to achieve prolonged, stable information retention. Results could inform the development of RRAM or other memory devices for energy-efficient in-memory computing for AI big data processing. "We hope that our findings can inspire new ways to use phase separation to create information storage devices," said Yiyang Li, U-M assistant professor of materials science and engineering and senior author of the study. Read the full article: https://bit.ly/3XqvJ01
Solving a memristor mystery to develop efficient, long-lasting memory devices
https://news.engin.umich.edu
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Each year, the Journal Citation Reports™ (JCR) from Clarivate and CiteScore™ metrics by Scopus, release their latest reports that examines the influence and impact of scholarly research journals. JCR reveals the relationship between citing and cited journals, offering a systematic, objective means to evaluate the world’s leading journals. The 2023 report, released June 2024 reveals that IEEE journals continue to dominate the rankings in Electrical Engineering, Telecom, AI, Computer Hardware, Imaging Science, Cybernetics, Information Science, and many other fields. Learn more here: 🔗 https://loom.ly/hXH8D5M #IEEE #IEEEXplore #JCR #JournalCitationFactor #JournalImpactFactor #IEEEJournals #Telecommunications
Journal Citation Reports™
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[𝐃𝐞𝐜𝐨𝐝𝐢𝐧𝐠 𝐒𝐜𝐢𝐞𝐧𝐜𝐞] #DIDYOUKNOW that light can be brought to a standstill? Light particles work harmoniously with each other, responding to cues from the light source to slow down or pause at precise wavelengths. Imagine the scenario where musicians follow a conductor's signals. A group of researchers - Hoang Thanh Xuan from A*STAR’s Institute of High Performance Computing (IHPC), Daniel Leykam from Centre for Quantum Technologies, and Yuri Kivshar from The Australian National University University, have demonstrated that strong, multiple scattering in long-range interactions could lead to extremely efficient light trapping. This discovery could lead to potential advancements in optical components for applications in imaging, microscopy, and optical computing. 📧 Drop us an email at [email protected] to find out more about IHPC's research work. #IHPC #lightscattering #wavelengths #opticalcomputing #imaging
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#LLNL researchers have created software that can efficiently and effectively automate and analyze the notoriously difficult point defects in crystalline materials, which often determine the actual electronic and optical response of a given material. Learn more: https://lnkd.in/gUfVeES8
LLNL researchers develop framework for databasing properties of crystal defects
llnl.gov
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I am excited to share the news! Alhamdulillah, My first paper, titled ❝Enhancing Defect Recognition: Convolutional Neural Networks for Silicon Wafer Map Analysis ❞, published in the 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE 2024) is now available on IEEE Xplore. I really want to thank Muhammad Junayed for his dedication to this work and Dr. Md. Saiful Islam sir, for all of his guidance. For those interested in learning more, the paper is now accessible here: https://lnkd.in/gaPtpCwB #research #ieee #deeplearning
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Dear Colleagues, The rapid advancement in computational technologies demands increasingly efficient data transfer mechanisms within integrated circuits. Traditional electronic interconnects are approaching their limits in terms of bandwidth and energy efficiency, which is where Optical Network on Chip (ONoC) and Silicon Photonics come into play. These technologies promise to revolutionize on-chip communication by leveraging the high bandwidth and low latency characteristics of optical signals, along with the scalability and integration benefits of silicon photonics. This Special Issue dedicated to "Optical Network on Chip and Silicon Photonics" will provide a much-needed platform for researchers to present cutting-edge developments, innovative solutions, and emerging trends that address the critical challenges of on-chip data communication, thereby pushing the boundaries of computational performance and energy efficiency. Moreover, the field of silicon photonics has seen substantial progress in recent years, making it a fundamental technology for future computing systems. By integrating optical components into silicon-based microchips, silicon photonics enables the creation of highly efficient and compact optical interconnects. This Special Issue will not only highlight the latest research in the field but also encourage interdisciplinary collaboration between photonics, electronics, and computing experts. It will serve as a comprehensive resource for academics and industry professionals seeking to understand and implement optical solutions in their designs. Thus, a dedicated Special Issue on this topic will significantly contribute to the advancement of technology, fostering innovation and inspiring new research directions in the rapidly evolving landscape of chip-scale communication systems. Dr. Meisam Abdollahi Guest Editor Deadline for manuscript submissions: 31 May 2025 https://lnkd.in/g7ZRuMAf
Optics
mdpi.com
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A recent paper in Optica, co-authored by NTT RESEARCH PHI Lab Scientist Marc Jankowski, introduces a highly efficient method for generating broadband coherent light at long wavelengths. This breakthrough has significant implications for spectroscopy and sensing, with potential applications in medical diagnostics, #drugdiscovery, and even #environmental monitoring. A recent OFC Conference paper co-authored by scientists from the PHI Lab also delves into the limitations of traditional computing architecture by meeting the computational demands of #AI and proposes a new approach using #optics. https://lnkd.in/dEbN7igH
PHI Lab Scientists Publish Paper in Optica and Engage at OFC - NTT Research
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Neuromorphic photonics mimic the architectures and components of biological neural networks in the optical domain, aiming to emulate neuronal behaviour and overcome some of the challenges that traditional computing faces. This Special Issue will focus on recent advances in integrated photonic neuromorphic systems, discussing current as well as future challenges and outlining the scientific in addition to technological advances needed to meet these challenges.
Photonics
mdpi.com
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