Oct 12 – 23, 2020
GMT timezone

22nd IEEE Real Time Conference

Live stream to watch the conference

Click on "Virtual Conference Handbook" on the left menu and follow the link on that page (you have to be registered to see the handbook).

If you are not registered at the conference, you can still watch a live steam of our invited talks at IEEE.tv. Please share this link with all your friends.

Following presentations will be streamed via IEEE.tv

Opening Mon 12 Oct, 13:00 UTC
Nhan Viet TRAN: Real-time machine learning in embedded systems for particle physics Mon 12 Oct, 13:45 UTC
Miaoyuan LIU: Heterogeneous compute for ML acceleration in HEP experiments Tue 13 Oct, 13:00 UTC
Audrey CORBEIL THERRIEN: ML at the Edge for Ultra High Rate Detectors Wed 14 Oct, 13:00 UTC
Jean-Pierre MARTIN: CANPS Award Talk Thu 15 Oct, 13:00 UTC
Christof BUEHLER: Artificial Intelligence - a gentle introduction Fri 16 Oct, 7:00 UTC
Patrick LE DÛ: History of the Real Time Conference Mon 19 Oct, 7:00 UTC

Virtual Conference

The organizers are excited to present the Real Time 2020 in a completely virtual form to our attendees. This will not only ensure the safety of everyone, but also offers new opportunities like a completely new form of poster sessions, and a drastic reduction of registrations fees, especially for low income countries.

Like the previous editions, RT2020 will be a multidisciplinary conference devoted to the latest developments on real time techniques in the fields of plasma and nuclear fusion, particle physics, nuclear physics and astrophysics, space science, accelerators, medical physics, nuclear power instrumentation and other radiation instrumentation.

For this year RT2020, we are excited to include a new topic for the scientific program - Real Time applications in Machine Learning and Deep Learning. We know this is an active area of research in many disciplines, and we encourage those in the community engaged in such study to submit an abstract for this conference.

The conference will provide an opportunity for scientists, engineers, and students from all over the world to share the latest research and developments.  This event also attracts relevant industries, integrating a broad spectrum of computing applications and technology.








In order to register for the conference, you have to log in to the CERN Indico system by clicking on "Registration" or "Submit abstract" on the left side menu. You will then be directed to the login page. There are four options to log in:

If you have already a CERN account, you can use it.

If your home organization participates in the eduGAIN network (there are already 400+ universities and institutions who do), you can sign in with your organization or institution account after you have selected your organization in the eduGAIN dialog box.

If you have a public service account such as Facebook, Google, Windows Live or Yahoo, you can use that account to log in.

If none of the above works (and only then), you can create a Lightweight CERN account on the CERN Account Management page. Be sure to remember the username and password, since you will need that account to submit any abstract, slides or proceedings.

If you somehow have trouble creating a CERN lightweight account or using your public service account for Indico access, please restart your browser. If that does not help, try to delete cookies, then empty the browser cache.