EPFL Open Days 2023
Plan your visit
The CIS will be present during the event, taking part in a roundtable discussion on ChatGPT and its impact on research, education and industry, as well as showcasing the latest research in machine learning and robotics through demonstrations. Join us for experiencing demos from the CIS integrative research pillars on Intelligent Assistive Robotics, AI4Medicine, EdgeAI and DigitalTwin. Check the programme below to know where to find us and make sure to stop by our booth, to meet us and to learn about our activities.
Program
Are you curious about how ChatGPT works inside the ‘black box’, how fast these large language models are evolving and whether they will become more ‘intelligent’ than humans anytime soon? Join us to hear how AI might impact education and jobs in the future and discussion on the ethical responsibilities of the big tech companies driving all this change.
Prof. Pierre Vandergheynst and Dr. Jan Kerschgens, Academic Director and Executive Director of the CIS, respectively, will participate in this round table discussion with EPFL experts on large language models, using ChatGPT as an example of how AI is transforming education, research and industry.
Speakers:
- Prof. Antoine Bosselut (IC)
- Prof. Tanja Käser (IC)
- Prof. Rachid Guerraoui (IC)
- Prof. Pierre Vandergheynst (STI), et Directeur Académique CIS
- Dr. Jessica Dehler Zufferey, Directrice exécutive LEARN
- Dr. Jan Kerschgens, Directeur Exécutif CIS
- Dr. Silvia Quarteroni, Head of Innovation, SDSC
- Moderation by : Fred Courant (Esprit Sorcier)
When: Sunday April 30, 2023 | 2-4pm
14.00-14.45: Introductory lecture on AI and ChatGPT by Prof. Antoine Bosselut.
14.45-15.55 : Round table discussion on the impact that AI could have on education and employment in the future and to discuss the ethical responsibilities of the large technology companies behind all these changes.
Where: STCC – Auditoire B
How will machine learning change science? There is currently great public hype about ML e.g., with ChatGPT but it’s just the tip of the iceberg. Machine learning is changing profoundly the way that science is done, which in turn has some scientists trying to evolve ML for new paradigms. Learn how ML methods developed by our experts enable new biomedical discoveries, and how the challenges in biomedicine inspired them to develop new ML methods. Join us to explore the near, mid and long-term implications of this fundamental technological shift.
Round table organized by the School of Computer and Communication Sciences (IC) and the School of Life Sciences (SV).
Speakers:
- Prof. Lenka Zdeborova (IC & SB)
- Prof. Marcel Salathé (IC & SV)
- Prof. Maria Brbic (IC & SV)
- Prof. Alexander Mathis (SV)
- Moderated by : Prof. Pierre Vandergheynst (STI) & CIS Academic Director
When: Saturday 29 April | 13:00-14:00
Where: STCC – Auditoire B
Watch the demonstration of our colleagues from the Biorobotics Laboratory and Reconfigurable Robotics Lab on Intelligent Assistive Robotics. The focus of this project, lead by Dr. Anastasia Bolotnikova under our CIS collaboration grant 2, is on development and integration of the robotic solution into an intelligent assistive environment for people with limited mobility. You will discover mobile furniture, modular robotics and origami robotics.
When: Every 2 hours all weekend.
Where: MED Building, CIS booth
Visit this special hospital tent showcasing healthcare tools that use artificial intelligence and machine learning.
Pneumoscope: A pocket-sized 3-in-1 medical device powered by artificial intelligence for lung auscultation
In this activity there will be a demonstration of the Pneumoscope.
The end-to-end process will be showcased. The pneumoscope will be used to capture lung sounds, temperature and oximetry. The biosensors will automatically send data to a user-friendly app on a mobile phone for a diagnosis in real time.
Demo run by Jonathan Doenz and Antonin Gervaix.
Dr. Mary-Anne Hartley – intelligent Global Health Group (iGH)
Professor Alain Gervaix – Onescope
Professor Martin Jaggi – Machine Learning and Optimization Lab (MLO)
When: all weekend
Where: BC 01
In this activity you will work together in a collaborative drawing activity. Together you will colour Elmer the elephant, to give him back his colours. But be careful, each participant will be limited to one colour! Through this activity, we propose an analogy between collaborative colouring and one of the projects of our DISCO laboratory. In order to learn from each other, machines often have to collaborate in resource-limited environments, or with data constraints. To overcome this problem, there is a concept called “Federated Learning”, which we put into practice through our DISCO project.
Demo run by Walid Ben Naceur
Professor Martin Jaggi – Machine Learning and Optimization Lab (MLO)
Dr. Mary-Anne Hartley – intelligent Global Health Group (iGH)
When: all weekend
Where: BC 01
Contact
Any questions regarding the event? Please contact us:
[email protected]