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Alle artikelen van Future Computing and Networking

18 artikelen

  1. SURF Research Bootcamp 2024 (dinsdag 3 december

    SURF Research Bootcamp presenteert een deep dive in onderzoeksvaardigheden in de vorm van vijf praktische workshops. De informatieve workshops zijn bedoeld voor onderzoekers en onderzoeksondersteuners. Bij alle sessies is een laptop vereist.

  2. FIRE (FPGA Innovation Research Exchange) - Third Edition

    On June 27th, 2024, SURF along with Dutch Hardware Acceleration network organized the third edition of FIRE (FPGA Innovation Research Exchange) workshop. The theme of this edition was about tools and hardware acceleration for AI workloads.  The event featured a lineup of discussions centered around cutting-edge computing technologies for AI workload acceleration, showcasing multiple industrial players such as Innatera and Groq as well as developers of HW acceleration platforms such as AMD and Altera. In addition, the workshop featured two keynote talks on future computing platforms dedicated to quantum computing as well as cellular automata.

  3. New Report: "Preparing for a future with responsible quantum technologies"

    We’re excited to announce the release of a new report, "Preparing for a future with responsiblequantum technologies," published by SURF. As quantum technology continues to develop, our report explores the challenges and opportunities it presents, especially in relation to public values like privacy, security, fair access, and transparency. ⚡ Download the report here: https://www.surf.nl/files/2024-10/responsible-quantum-report-surf-preparing-for-a-future-with-responsible-quantum-technologies-october-2024.pdf 

  4. Be part of SURF Tech Trends 2025-2026

    After a successful Tech Trends Report in 2023, SURF is about to start creating the trend report for 2025-2026 and you can become part of it!

  5. Robots and AI are coming for the future of work, but are they coming for higher education?

    The XR Pilot hub attended the Erasmus Data Summit last week; where the future of the workforce was the primary theme. There was a lot of focus on (Generative) AI and robotics; but was it relevant to our educational institutions? The annual Erasmus Data Summit serves as a platform at Erasmus University Rotterdam, bringing together professionals from the South Holland region who are involved in data, AI, and Immersive technologies (Learn more at  https://ecda.eur.nl/erasmus-data-summit/). While XR didn’t make it to the main stage as much as we had hoped, we found intriguing questions to take home. The immersive tech fair after the main stage was a popular place to try new things and see where AI is meeting XR in practice.

  6. A reflection on SXSW24 by SURF

    SXSW treated us nicely this year and inspired us with lots of new ideas and insights. Founded in 1987 in Austin, Texas, South by South West (SXSW) is best known for its conference and festivals that celebrate the convergence of the interactive, film, and music industries. The event features sessions, showcases, screenings, exhibitions and a variety of networking opportunities. SXSW proves that the most unexpected discoveries happen where diverse topics and people meet.  This year, SURF was represented by three colleagues, Thijs van der Horst, Mark Cole & myself, and we were accompanied by many more Dutch R&E organisations, like Hogeschool Inholland, Hogeschool Utrecht, ROC Mondriaan & Grafisch Lyceum Rotterdam. Even our Minister for Digitalisation, Alexandra van Huffelen, took part in the event. We immersed ourselves in an 8-day program full of keynotes, featured sessions, workshops and experiences. Here are a couple of takeaways we would like to share with you, out of over 4500 sessions. 

  7. FIRE (FPGA Innovation Research Exchange) - Second Edition

    On December 6th, 2023, SURF in Utrecht successfully organized the second edition of FIRE FPGA symposium along with the hardware acceleration community. This is the continuation of the “FIRE: FPGA Innovation Research Exchange“ event series. The focus of this event was on application development using HW-SW co-design approaches. The event addressed the challenge of optimizing applications on heterogeneous CPU-accelerator systems to achieve full system optimization.   We had a number of speakers from industry, academia and research institutes. In addition, we organized a session with 5-minute flash presentations, where many researchers and companies presented their innovations and products at a high pace to engender collaboration and information exchange. 

  8. Advanced computing gebruikersdag (donderdag 7 December)

    Ontdek trends en kom in contact met andere vakgenoten in HPC, AI, Machine Learning, Quantum en Data Science op 7 december in het Koninklijk Instituut voor de Tropen, Amsterdam. De toegang is gratis.

  9. FIRE (FPGA Innovation Research Exchange)

    Hardware architecture improvements had relied on Moore's law and Dennard scaling for some decades. According to Moore's prediction, the number of transistors on a chip doubles almost every 18 months. According to Dennard scaling, as transistors become smaller, their power density stays constant. These allowed manufacturers to raise clock frequencies without significantly increasing overall circuit power consumption. Nowadays, Moore’s law is not happening as predicted, and Dennard scaling law is broken down. To address this, (homogeneous) multi-processors were invented, and opened a new era for parallel processing to gain better performance with a reasonable increase in power consumption. However, homogeneous multi-processors cannot keep up with high-demand application requirements such as low power, energy efficiency, and high performance. 

  10. The epistemology of machine learning in science: a panel at SURF Research Day 2023

    In the ever-evolving realm of scientific research, the advent of Artificial Intelligence (AI) has been like the discovery of a new frontier. Yet, it isn't without its hurdles. This was a central topic during our panel session at SURF Research Day 2023, where we delved into the intricacies of employing machine learning as a research methodology.