Center for Intelligent Systems (CIS)

The EPFL Center for Intelligent Systems brings together researchers working on various aspects of creating intelligent systems.

EPFL launched the Center for Intelligent Systems (EPFL CIS) in October 2019. This center is a joint initiative of the schools ENAC, IC, SB, STI and SV that integrates research in Artificial Intelligence (AI), Machine Learning (ML) and Robotics to foster integrative research streams leading to the development of Intelligent Systems. Intelligent Systems perceive their environment, can learn from the data they collect and adapt to the changing world around them. Intelligent Systems can take many forms. When available, such systems will have profound implications for many areas including manufacturing, transportation, commerce, employment, healthcare, government, legal, security, privacy, and education.

Four integrative research pillars have already been launched since the inception of CIS: “AI for Medicine”, “Intelligent Assistive Robotics”, “Decentralized edge AI Infrastructure” and “Digital Twin”. Furthermore, the EPFL Center for Intelligent Systems supports its 70 associated professors in their teaching and training mission of future engineers/scientists.

In addition, the EPFL CIS serves as a “one-stop-shop” for questions from industry, society and politics on the topics of artificial intelligence, machine learning and robotics and pro-actively promotes technology transfer from research to society and industry by organizing thematic conferences such as the EPFL Digital Twin Days in November 2021. Finally, through its work and contacts, the CIS integrates EPFL into European and international research and excellence networks.

CIS Goals

To bring people together within EPFL under the umbrella of Intelligent Systems
To encourage ambitious collaborative projects to build Intelligent Systems
To act as the point of contact and collaboration for Swiss industry

Activities

News

Events

CIS Collaboration Grant

Research Pillars

Publications

Network

EPFL ELLIS Unit

If you wish to stay up to date with the CIS’ activities, events and opportunities, please subscribe to the CIS Newsletter.

News

AI in life sciences: challenges and opportunities

News
Innovation

On October 13, the EPFL School of Life Sciences and the EPFL Center for Intelligent Systems were delighted to invite all-professors, research staff and students to their first CIS-SV AI deep-dive: The CIS SV Retreat. One day to exchanging on the topic of AI in life sciences and to discuss challenges and opportunities ahead.

Better understanding of cellular metabolism with the help of AI

28.09.22NewsEPFL

Metabolism is essential to all living organisms, and modeling the chemical reactions that sustain life is no easy task. Now, EPFL scientists have released REKINDLE, paving the way for more efficient and accurate modeling of metabolic processes thanks to deep-learning.

Call for Proposals: CIS Collaboration Grant

13.09.22NewsResearch

Two new CIS Collaboration Grants are open for proposals in AI4MolecularDesign and AI4EnvironmentalProcesses. Application deadline: Nov. 15, 2022

All news

Events

Populations of Unlabelled Networks: Graph Space Geometry and Generalized Geodesic Regression Model

31-03-202331-03-2023

With: Anna Calissano, INRIA
Place and room: GA 3 21
Category: Conferences – Seminars

Computational materials design with machine learning and atomistic simulations

04-04-202304-04-2023

With: Rafael Gomez-Bombarelli is the Jeffrey Cheah Career Development Professor in MIT’s Department of Materials Science and Engineering. His work aims to fuse machine learning and atomistic simulations for designing materials and their transformations. Through collaborations at MIT and beyond, Rafael’s group develops new practical materials such as catalysts, therapeutic peptides, organic electronics or electrolytes for batteries. Rafael joined MIT in 2018 after earning BS, MS, and PhD (2011) degrees in chemistry from Universidad de Salamanca (Spain) and carrying postdoctoral work at Heriot-Watt, Harvard and at Kyulux North America. His machine learning work has received faculty awards from the Dreyfus Foundation and Google. Rafael was a co-founder of Calculario, a Harvard spinout company, and served as Chief Learning Officer of ZebiAI, a drug discovery startup.
Online: https://epfl.zoom.us/j/68447908297?pwd=OU5JUGJUSUhZc0ZNYjQ2WENvYlNRdz09
Category: Conferences – Seminars

"AI in chemistry and beyond: ML for modeling molecular interactions: DiffDock as example for docking prediction" seminar by Hannes Stärk

18-04-202318-04-2023

With: Hannes Stärk is a PhD student at MIT in the CS and AI Laboratory (CSAIL) co-advised by Tommi Jaakkola and Regina Barzilay.
Online: https://epfl.zoom.us/j/68447908297?pwd=OU5JUGJUSUhZc0ZNYjQ2WENvYlNRdz09#success
Category: Conferences – Seminars