Artificial Intelligence in a Computing Continuum - why and how?
Join us for this webinar to discover and discuss the new business opportunities, applying High Performance Computing and Artificial Intelligence in a Computing Continuum. You can hear cases and examples presented by researchers and practitioners from DTU, Vital Beats, and DIKU.
The benefits of AI and fast data processing are well known to most high tech companies striving to increase productivity and minimize costs of production and resources. But how do you navigate in the complicated interconnected network of sensors, actuators, instruments, and computing systems, whilst also ensuring that your data is safeguarded against attacks from cyberspace?
In this online session, you can join us on a digital journey through the universe of artificial intelligence and computing continuum (*) and gain an overview of trends and opportunities guided by experts from DIKU, DTU, and the startup company Vital Beats.
Many companies and industries, such as the health tech sector, are facing new computational challenges, but also see new business opportunities with the increasingly growing number of interconnected devices. In this session, we ask the speakers:
- Why are artificial intelligence, high performance computing, and cybersecurity – seen in a computing continuum - changing the standards of the European digital industry?
- How can you create new business opportunities with artificial intelligence and harness the computing continuum of interconnected sensors, actuators, instruments, and computing systems?
- How did Vital Beats create an AI-driven software platform for remote cardiac care and clinical decision-support for cardiologists and treatment of pacemaker patients?
Who should participate?
The webinar is relevant for researchers, decision-makers, R&D officers, students, or everybody who wants to stay up-to-date on the integrated use of HPC, AI, and Security as a computing continuum, notably in the Health tech Industry.
Programme
Anders Pall Skött is head of the Business Collaboration and Innovation unit at the Department of Computer Science at University of Copenhagen.
Abstract
The computing continuum is transforming the way we will look at computer systems. Systems which traditionally have been separated such as HPC infrastructure, cloud infrastructure and embedded devices are now merging. Furthermore, machine learning and deep learning have already become an integral part of all the aforementioned systems. This will lead to new challenges in design complexity but also opportunities in added value for users, as well as new business propositions. In this talk, I will also attempt to speculate on what will happen down the road.
About the speaker:
Dr. Sven Karlsson is an associate professor at DTU Compute, DTU. He received his Ph.D. degree from KTH, Sweden in 2004.
His research interests are in programming models, architectures, operating systems, and system software for parallel computers. His most notable achievements are the OdinMP C/C++ OpenMP compiler and the Balder cluster OpenMP runtime infrastructure. Both software systems have been commercially exploited.
More recently, Dr. Karlsson has led the development of the Tinuso high performance soft core for FPGAs. He also has experience from corporate research leadership at EricssonIn this talk Tariq will present early findings from a feasibility study of an AI-tool in a “near-live” clinical setting. He will present a case experiment with a technology called SafeHeart, which is designed to support electrophysiologists at the Heart Centre at Rigshospitalet in making decisions supported by 30-day risk predictions.
About the speaker
Tariq Osman Andersen is co-founder of and leads research activities in the start-up company Vital Beats. Tariq is in charge of innovation management, running a Living Lab with 250 cardiac device patients.
Moreover, he is also Assistant Professor in the Software, Data, People & Society section at Department of Computer Science, University of Copenhagen. In his capacity as a researcher, he leads the coordination of studies in collaboration with researchers at the Department of Computer Science and the Heart Centre at Rigshospitalet at University of Copenhagen.
The webinar will end with an open discussion.
Registration
It is free to join the webinar but sign up is required through this link.
If you have questions regarding the webinar, please contact Head of Business & Innovation, Anders Pall Skött.
Registration
It is free to join the webinar but sign up is required.
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About Computing Continuum
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(*) The computing continuum is based on the observation that as technologies mature and new application areas are explored, IoT, Edge and Fog Computing, Cloud, and High-Performance Computing (HPC) are all used together. Many argue that we will no longer see these technologies as separate but rather as part of a continuum, a computing continuum. |
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For example, data is generated in IoT nodes with sensors. Local and edge processing is done close to sensors to make sure privacy is ensured but also to refine the data so that the data volume is reduced leading to lowered communication cost. Fog nodes aggregate data and funnel it towards the cloud where some processing is done. HPC systems are used, at regular intervals, for larger-scale simulation and intense computations, for example for long-term predictions and holistic optimization. |
Former webinars in the series
This webinar is part of a webinar series, started by DIKU Business Club in the summer of 2020.
All webinars in the series focus on themes within computer science that has an impact on industry.
You can find more information on the previous webinars here:
- Cybersecurity in the Healthcare Sector
- Digital sagsbehandling
- Games and Animation Industry
- Blockchain for the Food Industry
- Smart Energy Systems
