Center for Intelligent Systems (CIS)

The research center for AI, Machine Learning and Robotics at EPFL.

The Center for Intelligent Systems (CIS) at EPFL, is a joint initiative of the the schools ENAC, IC, SB, STI and SV that seeks to advance research and practice in the strategic field of intelligent systems. Such systems are embedded with elements of artificial intelligence and are emerging in response to the convergence of the virtual and physical worlds through the development of autonomous systems, wearable technologies, robotic co-workers, smart devices, drone technology, augmented reality, intelligent houses, digital twins, intelligent manufacturing, and many other applications.

What we do

Research

Our research pillars: CIS collaboration grants

Education

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Innovation

Industry Day

AI4Science initiative

Affiliation Programmes

Events

Seminar series

Get to Know Your Neighbors

CIS Colloquium

CIS Network Seminars

Get to Know Your Industry Partners

CIS-Riken AIP Seminar Series

Conferences & workshops

EPFL Open Days

Engineering Industry Day

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News

Fostering Research through Collaboration: CIS Collaboration Grants

21.09.23Research

The CIS Collaboration Grant was established to foster the initiation of CIS Research Pillars, specifically within the domain of Intelligent Systems federating Machine Learning (ML), Artificial Intelligence (AI) and robotics research.

© 2023 Christoph Belke, Raphaël Galeuchet, EPFL RRL

Mori3: A Polygon Shapeshifting Robot for Space Travel

12.06.23Research

Jamie Paik and her team of researchers at EPFL’s School of Engineering have created an origami-like robot that can change shape, move around and interact with objects and people.

The Pneumoscope © Cyrille Verdon / Renaud Defrancesco BUREAU 141 / EPFL 2023

DeepBreath: Using deep learning to identify respiratory disease

12.06.23EPFL

A new AI algorithm developed at EPFL and University Hospital Geneva (HUG) will power an intelligent stethoscope – Pneumoscope – with the potential to improve the management of respiratory disease in low-resource and remote settings.

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