Center for Intelligent Systems (CIS)
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.
- 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
If you wish to stay up to date with the CIS’ activities, events and opportunities, please subscribe to the CIS Newsletter.
Better understanding of cellular metabolism with the help of AI
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.
CIS – Colloque : par Prof. Madan Babu
With: Prof. Madan Babu
Place and room: SV 1717
Category: Conferences – Seminars
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