Researchers at Aston University in Birmingham, England, accomplished data transfers speeds that are roughly 4.5 million times faster than the average home broadband in the UK. Using a singular standard optical fibre cable, they successfully transferred data at a rate of 301 terabits or 301,000,000 megabits per second. This is comparable to the average home speed of 69.4 megabits per second in the UK. This was accomplished by utilizing the S- band and E- band on the electromagnetic spectrum where previously no one has been able to make use of the E-band. This is very relevant to myself and the field of Computer Science because it will significantly improve the reliability and speed at which data can be transmitted. Being able to achieve these speeds with pre-existing infrastructure could revolutionize the current modern society we live in. This article is very interesting as it would make high speed broadband highly accessible and relatively cheap to implement with our current infrastructure.
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WOW! 4.5million times faster internet breakthrough from Aston University! 🌟 Their researchers have catapulted data transmission speeds to 4.5 million times faster than the typical broadband. By exploring new wavelength bands, they’ve achieved a phenomenal 301 terabits per second using standard optical fibre. This monumental leap isn’t just about speed; it’s about redefining the potential of global communication technologies. Discover more about how they’re shaping our digital future: Read here #TechInnovation #FutureIsNow #DigitalRevolution #AstonUniversity https://lnkd.in/esXChGx5
Aston University researchers send data 4.5 million times faster than average broadband
aston.ac.uk
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🚀4.5 Million Times Faster Data Transfer! 🌐💨 📶 Aston University researchers have achieved a groundbreaking feat by sending data at a speed 4.5 million times faster than the average home broadband! 🏠💻 🌟 This record-breaking speed, clocking at 301 terabits per second, was achieved by utilizing specific new wavelength bands not yet utilized in fiber optic systems. 🌈🔗 🔍 Led by Professor Wladek Forysiak and Dr. Ian Phillips in collaboration with researchers from NICT in Japan and Nokia Bell Labs in the USA, this achievement opens new possibilities for meeting the massive data demand of the future. 💡🌍 💡 By leveraging optical fibers and innovative optical amplifiers and gain equalizers, the team accessed previously untapped wavelength bands, enhancing the capacity of existing networks to carry data. 📡⚙️ 🌱 This breakthrough not only promises faster and more reliable data transmission but also presents a greener solution by maximizing the capacity of existing fiber networks, thus reducing the need for deploying new infrastructure. 🌿🔌 📈 Published by the Institute of Engineering and Technology (IET), this accomplishment marks a significant step forward in optical fiber technology, paving the way for faster, more efficient communication networks. 📊👩💼 🔗 For details: https://lnkd.in/dQUHdjMy #DataTransmission #FiberOptics #ResearchInnovation #AstonUniversity #BroadbandAdvancement
Aston University researchers send data 4.5 million times faster than average broadband
aston.ac.uk
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I am delighted to share that my research paper titled "Rainfall Prediction Using Logistic Regression and Random Forest Algorithm" has been successfully published on IEEE Xplore as part of the 2024 IEEE International Conference on Computing, Power, and Communication Technologies (IC2PCT).A heartfelt thanks to my co-author Manvendra Singh for his invaluable contributions to this work.📝🌍 Delve into the innovative methods and findings shaping rainfall prediction by clicking the link https://lnkd.in/g-AuU4gz . Your insights are invaluable as we pave the way for advancements in weather forecasting! #Research #Publication #IEEE #IC2PCT #RainfallPrediction #ResearchPaper
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I am excited about my conference paper published at 2024 IEEE international multi conference on engineering, computer and information science(SIBIRCON)
Comparative Analysis of Statistical Test Based on Data Compression Methods and Standard Tests for Assessing Randomness of Random Number Generators
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https://lnkd.in/dqN2zeai << ...The European Conference on Computer Vision (ECCV) is a biennial premier research conference in Computer Vision and Machine Learning, managed by the European Computer Vision Association (ECVA)... >>
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Using a combination of machine learning and powerful X-rays, Cornell researchers have solved a mystery behind the unusual behavior seen in a class of materials with potential for thermoelectric energy conversion and other applications. Researchers have long shown that the cubic phase of germanium telluride (GeTe) exhibits an unexpected rise in lattice thermal conductivity as its temperature increases. But knowing that a property exists and explaining why it exists are two very different things. Check out the full article by Cornell University here: https://lnkd.in/ev3GDTxT
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📢 Call for Papers: IEEE CIVEMSA 2025! Researchers are invited to submit their original work to present at the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (IEEE CIVEMSA 2025). Papers are solicited on all aspects of computational intelligence, human-computer interaction technologies, and virtual environments for measurement systems and related applications, from the perspectives of both theory and practice. Submission Deadline: 31 January 2025 🔗 View Call for Papers: https://lnkd.in/d6MYDzuS #IEEE #CIVEMSA2025 #ComputationalIntelligence #VirtualEnvironments
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402 Terabits a Second: Researchers Break “World Record” for Data Transmission Speed Aston University researchers and their international team have set a new data transmission record of 402 terabits per second using standard optical fiber, potentially stabilizing broadband costs as demand surges. Researchers at Aston University, collaborating with a team, have achieved a new record by transmitting data at a rate of 402 terabits per second through commercially available optical fiber. This accomplishment surpasses their prior record set in March 2024, where they managed to send data at 301 terabits per second, equivalent to 301,000,000 megabits per second, using a single standard optical fiber. Read more https://lnkd.in/eb7K_NJx
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In his paper, "Eine neue Herleitung des Exponentialgesetzes in der Wahrscheinlichkeitsrechnung" (1922), the Finnish mathematician Jarl Waldemar Lindeberg introduced a transformative approach to the Central Limit Theorem. His work established the Lindeberg condition, a key criterion that generalizes the theorem to cases where variables may not have identical distributions. This paved the way for applications far beyond theoretical statistics, influencing fields such as wireless communication, finance, and machine learning. Today, Lindeberg's condition underpins many advanced technologies, from large-antenna systems in telecommunications to robust models in data science. In multi-user wireless systems, for example, Lindeberg’s insights enable asymptotic orthogonality among user channels as the number of antennas grows, significantly reducing interference and enhancing signal clarity. Lindeberg’s contributions underscore the enduring impact of foundational mathematics on modern technological advancements. #ProbabilityTheory #Lindeberg #CentralLimitTheorem #WirelessCommunication #Mathematics #Innovation
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🌟 Exciting news! 🌟 I’m thrilled to see the paper "Rewarding Responsibility: Constructing a Responsible Artificial Intelligence Competition for Future Engineers" now published in the proceedings of the 52nd SEFI Annual Conference. It is truly an honor to be acknowledged in this impactful work for assisting with the organizational tasks. Special thanks to Robin Ann Downey for her leadership and dedication to fostering responsibility in AI education. 👏 Check out the paper here: DOI:10.5281/zenodo.14256859 #ResponsibleAI #AICompetition #EngineeringEducation
Our SEFI conference paper on the 2023 Responsible Artificial Intelligence (RAI) Competition is now available. It mentions some of the RAI work conducted by Bilkent University engineering students. Many thanks to Marco Rossi for presenting our work in Lausanne. This effort would not have been possible without support from MathWorks and FIGES. R. A. Downey, M. Rossi, & S. Schwaller (2024). Rewarding Responsibility: Constructing A Responsible Artificial Intelligence Competition For Future Engineers. Proceedings of the 52nd Annual Conference of SEFI, Lausanne, Switzerland. DOI:10.5281/zenodo.14256859 https://lnkd.in/d6caTZy7
Rewarding Responsibility: Constructing a Responsible Artificial Intelligence Competition for Future Engineers
zenodo.org
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