INESC TEC’s Post

#quantumcomputing #innovation Researchers in Taiwan, at Taiwan’s National Tsing Hua University (NTHU) led by Professor Chuu Chih-sung, claimed to have developed the world's smallest quantum computer, marking the first use of a single photon to execute quantum algorithms. - Researchers at the National Tsing Hua University (NTHU) in Taiwan have unveiled the world’s smallest quantum computer, utilizing a single high-dimensional photon to perform calculations. - The compact system encodes information in 32 time-bins within a photon’s wave packet and successfully implemented Shor’s algorithm for prime factorization. - Unlike traditional quantum computers requiring low temperatures, this device functions without massive cooling. - Photon-based computing, due to its scalability and resistance to noise, offers promising applications in data security, AI, medical research, and logistics optimization. - Fossbytes (follow the link in "Comments" for further information)

Know more about IEEE INEC Conference and don't forget to save the deadline in your research calendar it's end of August, 2024. #nanoelectronics #electronics #AI

Conference date is approaching... We welcome all professionals and students. Here is some keynote speeches infomation. Prof. Boon-Chong Seet Auckland University of Technology, New Zealand Title of Speech: Sensing, Computing, and Communication Technologies for Smart Systems Prof. Chee-Kong Chui National University of Singapore, Singapore Title of Speech: Robotic Automation in Fine Chemicals: Revolutionizing Drug Development and Medical Engineering Prof. Rongshan Yu Xiamen University, China Title of Speech: AI for biological science – a signal processing perspective

Denmark involved in research in the field of interaction between brain and computer Seven universities and eight companies from all over Europe are collaborating in a large, interdisciplinary research project to develop new technology and new talent within brain-computer interfaces. The project is supported by Horizon Europe. Brain-computer interfaces (BCI) are the term for technologies that enable the brain to interact directly with machines, and include measuring electrical signals from the brain and stimulating the brain. A BCI records brain signals, analyzes them and translates them into instructions that a computer can understand. Combined with artificial intelligence, these interfaces can radically change how we humans interact with technology. #electronics #bci #braincomputerinterfaces #ai

The ATHENS project, spearheaded by researchers at Karlsruhe Institute of Technology (KIT), is transforming optical communication systems to enhance artificial intelligence (AI) speed and efficiency. With €14 million in funding from the European Research Council, the initiative focuses on developing innovative optical transceivers using hybrid material systems that combine silicon with advanced organic and crystalline materials. These transceivers address the escalating data demands of AI, offering higher transmission rates with reduced energy consumption. By leveraging facilities at the soon-to-open Karlsruhe Center for Optics and Photonics, the team aims to revolutionize signal conversion technology, with potential applications in quantum technology, medical engineering, and AI. This groundbreaking research underscores KIT's prominence in photonics and materials science innovation. For more details, please continue reading the full article under the following link: https://lnkd.in/eZwZaXFR -------------------------------------------------------- In general, if you enjoy reading this kind of scientific news articles, I would also be keen to connect with fellow researchers based on common research interests in materials science, including the possibility to discuss about any potential interest in the Materials Square cloud-based online platform ( www.matsq.com ), designed for streamlining the execution of materials and molecular atomistic simulations! Best regards, Dr. Gabriele Mogni Technical Consultant and EU Representative Virtual Lab Inc., the parent company of the Materials Square platform Website: https://lnkd.in/eMezw8tQ Email: gabriele@simulation.re.kr #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation

Lately, I have been doing research on superconducting technology, which I previously associated mainly with quantum computing. However, imec's advancements have broadened my perspective. Their pioneering work in superconducting digital technology indicates that its benefits could extend to classical processors as well. This is a significant revelation, as it promises substantial improvements in both energy efficiency and computational density, potentially transforming the AI and machine learning landscape. imec's superconducting technology could achieve up to 17 times the speed, 200 times the power efficiency, and 1000 times the interconnect efficiency compared to traditional 7nm CMOS technology. These improvements could revolutionize AI, machine learning, and data center efficiency, providing high-performance solutions for the future. I find it very exciting to see how superconducting elements and circuits unlock new possibilities in both, classical and quantum computing, and am eager to see where this field and IMEC are going next! 📷 Image Credit: IMEC #SuperconductingTechnology #QuantumComputing #ClassicalComputing #AIFuture #MachineLearning #IMEC #Innovation #TechAdvancements 

Q.ANT has introduced a groundbreaking photonic processor designed to augment human capabilities through advanced photonic integration. Utilizing state-of-the-art photonic technology, this processor aims to deliver unprecedented performance improvements in various high-demand applications. The processor leverages photonic computing principles to achieve higher data processing speeds, lower latency, and enhanced energy efficiency compared to traditional electronic processors. This innovation is poised to transform fields such as telecommunications, high-performance computing, and signal processing by harnessing the unique advantages of photonics, including increased bandwidth and reduced heat dissipation. Read the full article here via EE Times Europe: https://lnkd.in/e_yF-Dz7

“The basic idea is to mimic the biological neural network by using photonic components. The researchers are combining GaN components with conventional silicon microelectronics to create highly integrated arrays with hundreds of thousands of micro-LED. Using microLEDs can enable a power reduction by a factor of 10,000 compared to current technologies.” https://lnkd.in/efepmQPu

The ATHENS project, spearheaded by researchers at Karlsruhe Institute of Technology (KIT), is transforming optical communication systems to enhance artificial intelligence (AI) speed and efficiency. With €14 million in funding from the European Research Council, the initiative focuses on developing innovative optical transceivers using hybrid material systems that combine silicon with advanced organic and crystalline materials. These transceivers address the escalating data demands of AI, offering higher transmission rates with reduced energy consumption. By leveraging facilities at the soon-to-open Karlsruhe Center for Optics and Photonics, the team aims to revolutionize signal conversion technology, with potential applications in quantum technology, medical engineering, and AI. This groundbreaking research underscores KIT's prominence in photonics and materials science innovation. For more details, please continue reading the full article under the following link: https://lnkd.in/eZwZaXFR -------------------------------------------------------- In general, if you enjoy reading this kind of scientific news articles, I would also be keen to connect with fellow researchers based on common research interests in materials science, including the possibility to discuss about any potential interest in the Materials Square cloud-based online platform ( www.matsq.com ), designed for streamlining the execution of materials and molecular atomistic simulations! Best regards, Dr. Gabriele Mogni Technical Consultant and EU Representative Virtual Lab Inc., the parent company of the Materials Square platform Website: https://lnkd.in/eMezw8tQ Email: gabriele@simulation.re.kr #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation

𝐂𝐥𝐞𝐯𝐞𝐥𝐚𝐧𝐝 𝐂𝐥𝐢𝐧𝐢𝐜 𝐚𝐧𝐝 𝐈𝐁𝐌 𝐨𝐩𝐞𝐧 𝐞𝐧𝐝𝐥𝐞𝐬𝐬 𝐩𝐨𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐢𝐧 𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡! 💡 With the remarkable collaboration between Cleveland Clinic and IBM. Together, they've achieved a significant milestone in healthcare innovation by introducing the very first IBM-managed quantum computer in the United States, stationed right at Cleveland Clinic. This technology is exclusively dedicated to advancing healthcare research, opening endless possibilities in medical research. Unlike traditional computers, quantum computers can handle tasks that were previously deemed impractical or impossible. And by integrating AI with quantum computers, Cleveland Clinic and IBM are striving to accelerate the pace of biomedical research. Their collaborative efforts aim to revolutionise various aspects of healthcare, from drug discovery and optimization to predicting and managing complex health conditions. I am excited to witness the impact this new technology will have on healthcare research and, ultimately, on the well-being of individuals around the globe. #MedicalResearch #Technology #Healthcare