The International Conference on Machine Learning award committee has recognized Prof. Andreas Krause and his collaborators with a Test of Time Award for the paper "Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design".
Markus Gross, Professor of Computer Graphics at ETH Zurich, has accepted to join the Academy as a “Member-at-Large”. The invitation recognizes Markus Gross’s leadership of DisneyResearch|Studios, the most impactful research organization in the film business. It is also based on his scientific and technical contributions that led to leading creative tools for the crafts involved in the creation of the theatrical motion picture experience. Photo credit: DisneyResearch|Studios Zurich.
The CLS doctoral training program has new student representatives. Taking on this role as of July 1st, 2020 are Olga Mineeva, Kamil Adamczewski and Cathrin Elich.
Machine learning summer schools present topics which are at the core of modern Machine Learning, from fundamentals to state-of-the-art practice. MLSS 2020 will be a virtual event between 28 June to 10 July 2020. Most lectures will be live-streamed on YouTube, depending on the speaker's agreement.
Michael J. Black has been awarded the 2020 Longuet-Higgins Prize at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). The prize is awarded annually by the IEEE Pattern Analysis and Machine Intelligence (PAMI) Technical Committee for “Contributions in Computer Vision that Have Withstood the Test of Time.” It recognizes CVPR papers from ten years ago that have made a significant impact on computer vision research.
ETH Zurich held its sixth place in the new QS World University Ranking. According to QS, it remains the top-ranked university in continental Europe, confirming its position among the leading universities worldwide.
Professors David Basin and Joachim Buhmann as well as former doctoral student Mario Frank have received the Symposium on Access Control Models and Technologies (SACMAT) Test of Time Award.
Metin Sitti, Director at the MPI-IS and deputy Co-Director in CLS, has been newly appointed as Affiliated Professor of Physical Intelligence in the Department of Information Technology and Electrical Engineering, starting on June 1st, 2020. According to ETH “the appointment of Metin Sitti is of strategic significance because of ETH Zurich’s commitment to medical and health technology and its investment in the most up-to-date imaging procedures”.
Both world class research institutions in the field of intelligent systems have agreed to continue their research partnership, the Max Planck ETH Center for Learning Systems, for a further five years. Meanwhile, senior scientists from the MPI-IS have been appointed as Affiliated Professors at ETH, intensifying the academic exchange.
The world is facing a public health emergency caused by the Covid-19 pandemic. We all need to take this on, and science can make a major contribution. This online workshop hosted by the ELLIS Society presents projects on how to tackle Covid-19 using methods of machine learning and AI, carried out by leading international researchers. Research topics include outbreak prediction, epidemiological modelling, drug development, viral and host genome sequencing, and health care management.
In light of International Women's Day 2020, ETH Zurich puts successful women centre stage. Read about Prof. Julia Vogt, tenure track assistant professor of medical data science, in this article.
The BBVA Foundation recognizes Schölkopf for his work that has advanced the field of artificial intelligence by teaching machines the human skill of classifying data
Peer Fischer has been appointed visiting Professor at the School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), South Korea.
Siyu Tang officially joined the Department of Computer Science of ETH Zurich in January 2020 as Tenure Track Assistant Professor of Computer Vision. Get to know her in this short interview.
In our interview, Prof. Luc Van Gool, head of the Computer Vision Lab (CVL), explains how it has become much easier for a machine to recognize the content of an image in the last decade and how autonomous driving might be pushed forward over the next years.
The European Laboratory for Learning and Intelligent Systems (ELLIS) is a pan-European effort initiated in 2018 to foster European research excellence in machine learning and related fields. It aims to offer European researchers outstanding opportunities to carry out their research in Europe, and to nurture the next generation of European young researchers in this field of strategic importance. Its goal is to enable Europe to be competitive in modern AI and benefit from positive economic and societal impact. Today, ELLIS announces the establishment of the first 17 ELLIS units across 10 European countries and Israel. The list of directors of ELLIS units includes CLS researchers such as Thomas Hofmann, Bernhard Schölkopf and Luc van Gool.
Peer delivers the CMTI lecture as part of the Distinguished Lecture Series of the Centre for Nano Science and Engineering (CeNSE), at the Indian Institute of Science.
Andreas Geiger has been selected as top 40 under 40 by the capital magazine. The prices are given to the most important talents from economy, politics, science und society that influence the country and have been awarded at the Google headquarters in Berlin.
Prof. Markus Gross is among the thirty-two computer visualisation leaders who have been inducted into the IEEE Visualization Academy. The Academy recognises individuals who have made substantial contributions to the field of visualisation.
These days, Microsoft officially opens a lab in Zurich dedicated to researching mixed reality technologies and artificial intelligence. The software company is working closely with ETH Zurich. ETH News spoke with the director of the new research and development lab, ETH Professor Marc Pollefeys (Photograph: ETH Zurich / Giulia Marthaler).
How can machines learn within complex settings? This is one of the key question of Prof. Andreas Krause's research. The computer science professor leads the Learning & Adaptive Systems Group at ETH. He also serves as Academic Co-Director of the Swiss Data Science Center. Together with his colleagues, he tries to shape algorithms in a way that self-learning systems function reliably in an unstructured environment.
The MPI-IS group leader and professor at the University of Tübingen will receive a grant of some 1.47 million euros for his "LEGO 3D" project. Photo credit: Annette Cardinale
Portrait interview with Klaas Enno Stephan, Deputy Head of Department at D-ITET and Professor at the Institute for Biomedical Engineering (IBT) of ETH and the University of Zurich. He talks about his cooperative working environment, explains how mathematical models might help to find the right therapies for psychiatric diseases and how his research contributes to building bridges between medicine and engineering.
Cathrin Elich received this year's DAGM Best Master thesis award at the GCPR 2019 conference for her thesis "3D Birds-Eye-View Instance Segmentation" which she wrote at RWTH Aachen University. Cathrin joined CLS as a PhD Fellow in April 2019 under the supervision of Dr. Joerg Stueckler (Embodied Vision Group, MPI-IS) and co-supervised by Marc Pollefeys (Computer Vision and Geometry lab - ETH Zurich).
Marco Hutter, Professor at the Institute of Robotics and Intelligent Systems specialises in developing quadrupedal robots, some of which can operate autonomously. In his ERC project, he aims to apply new machine learning methods to enhance the robots’ mobility and prepare them for autonomous locomotion in extremely difficult terrain. In the future, these robots could take over dirty and dangerous tasks for humans, for example in disaster areas, sewers and mines, or on offshore platforms.
Prof. Andreas Krause and five further authors were honoured with lifetime achievement in their approach to outbreak detection, featured in their research paper "Cost-Effective Outbreak Detection in Networks".
The award-winning scientist specializes in research aiming to make machine learning methods more flexible, robust, and fair. Photo credit: Alejandro Posada
The ACM SIGGRAPH Academy honours Prof. Markus Gross with a membership for his contributions in computer graphics and interactive techniques.
Siyu Tang will join ETH Zurich as a Tenure Track Assistant Professor for Computer Vision as of January 2020. “This appointment is very important to me,” says Tang, “ETH Zurich is an amazing place to be and the professors in the Computer Science department are widely recognized as leaders in their fields. I’m very excited to join the faculty and I’m very much looking forward to working closely with them.” Tang currently leads the Holistic Vision Group in the Perceiving Systems Department at the Max Planck Institute for Intelligent Systems (MPI-IS) in Tübingen, where she researches at the interface between numerical optimization and machine learning. She develops computer-aided processes for the perception and digitization of people and their activities in complex and natural environments.
The Director of the Haptic Intelligence Department is the first female Managing Director in the institute’s history.
The Körber Foundation honors the MPI-IS Director and Cyber Valley Scientist for his ground-breaking research in mathematical methods that have made a significant contribution to helping artificial intelligence reach its most recent heights.
Researchers from the Max Planck ETH Center for Learning Systems and Google Research Zurich received the Best Paper Award at the International Conference on Machine Learning (ICML).
The Director of the Empirical Inference Department at the Max Planck Institute for Intelligent Systems, one of the world's leading researchers in the field of machine learning, has been named among the top ten influential minds in the history of German AI.
Google presents these awards to exemplary PhD students in computer science and related disciplines. With these unique fellowships Google acknowledges contributions of the receiving students to their areas of specialty and provides funding for their education and research.
The IEEE Robotics & Automation Society recognizes and congratulates the following individuals for their outstanding accomplishments and service to RAS and the robotics and automation community. They will be honored during an award luncheon to be held during the IEEE International Conference on Robotics & Automation (ICRA 2019) on 22 May 2019 at the Montreal Convention Centre, Montreal, Canada. Please join us in congratulating these outstanding recipients!
The European Research Council is awarding a 2.5 million Euros research grant to Dr. Metin Sitti, who is a Director at the Max Planck Institute for Intelligent Systems. Sitti is the head of the Physical Intelligence Department and one of the world's leading researchers in the field of small-scale and soft robotics and its use in medical applications. The funding will go toward ground-breaking basic research in soft-bodied miniature mobile robots. These tiny machines could one day have a radical impact on non-invasive medical interventions and diagnostics.
Intelligent data science approaches are changing science, the economy and society. In a new interdisciplinary initiative, ETH researchers from the fields of mathematics, computer science and information technology are therefore increasingly dedicating themselves to the foundations of data science. Peter Bühlmann (in the middle between Alessio Figalli and Cédric Villani) heads the initiative “Foundations of Data Science”. (Photo: PPR / Christian Merz)
Prof. Dr. Bernhard Schölkopf erhält in diesem Jahr den mit 150.000 Euro dotierten Wissenschaftspreis der Hector Stiftung. Die Jury würdigt damit seine herausragenden Leistungen in der Grundlagenforschung zum maschinellen Lernen und der Künstlichen Intelligenz, die als Schlüsseltechnologien der digitalen Revolution gelten.
ETH Professor Gunnar Rätsch played a major part in creating the biggest public database for anonymised information on two important breast cancer genes. The database helps to improve the treatment of patients. ETH News spoke with him about the background, his motivation and the challenges such a project presents. (Photograph: MSKCC)
Bernhard Schölkopf, Director at the MPI-IS and Co-Director of the Center for Learning Systems, has been appointed as Affiliated Professor of Empirical Inference in the Department of Computer Science, starting on January 1st, 2019. Image credit: Herlinde Koelbl
Der Direktor der Abteilung für Empirische Inferenz am Max-Planck-Institut für Intelligente Systeme in Tübingen erhält den diesjährigen Landesforschungspreis Baden-Württemberg. Die Auszeichnung ist mit 100.000 Euro dotiert. Theresia Bauer, Ministerin für Wissenschaft, Forschung und Kunst, hat den Experten für Maschinelles Lernen im Rahmen eines Festakts in der Staatsgalerie Stuttgart geehrt. Bild: Bernhard Schölkopf und Baden-Württembergs Wissenschaftsministerin Theresia Bauer. Copyright: MWK BW / Jan Potente.
Top European Machine Learning Scientists Join Forces to Establish European Excellence Network for Public Artificial Intelligence Research
At its Dies Academicus on 30 November 2018, the University of Basel awarded Prof. Robert Riener with the title Honorary Doctorate in the faculty of medicine.
Michael Black was awarded the University of British Columbia, Computer Science Department, Alumni Research Award 2018.
ERC Consolidator Grants awarded to CLS faculty members Andreas Krause (Professor of Computer Science at ETH Zurich) and Mehmet Fatih Yanik (Professor for Neurotechnology at the The Institute of Neuroinformatics, UZH / ETH Zurich).
The CLS community has elected our new student representatives for the period October 17th - January 17th, 2019. Our student representatives are the point of contact for the collection of matters that are of daily concern to the PhD students. All student representatives meet each other and the coordinator regularly.
In honour of the 70th anniversary of the Max Planck Society, the 100th anniversary of the Nobel Prize award to Max Planck and Max Planck’s 160th birthday, the Max Planck Society will hold a Germany-wide Max Planck Day on September 14, 2018.
For the first time, the prestigious IEEE PAMI Young Researcher Award was given to a German researcher.
Scientist working in the Haptic Intelligence Department at the Max Planck Institute for Intelligent Systems receives great media feedback on her research
Professor John Lygeros within the Center for Learning Systems has been awarded the prestigious ERC Advanced Grant to fund his research on computation and control.
Professor Peter Bühlmann within the Center for Learning Systems has been awarded the prestigious ERC Advanced Grant to fund his research on statistics, machine learning and bioinformatics.
Professor Peer Fischer, the head of the Micro, Nano and Molecular Systems Lab at the Max Planck Institute for Intelligent Systems was awarded 2.5 Mio Euro from the ERC.
Scientists at the Max Planck Institute for Intelligent Systems invented a magnetically controlled soft robot only four millimeters in size, that can walk, crawl or roll through uneven terrain, carry cargo, climb onto the water surface, and even swim in it. The inspiration comes from soft-bodied beetle larvae and caterpillars, and even jellyfishes posed as biological models. One day, this small-scale robot may enable targeted drug delivery or minimally invasive surgery, the researchers hope. Its multiple locomotion capability in complex environments is so unique that science journal Nature will publish the researchers´ findings in its February edition.
High above Lake Lucerne, the three-day CLS retreat took place at Stoos, a magnificent place in the heart of Central Switzerland.
On the occasion of Ada Lovelace Day on 10 October 2017, robohub presented their annual list of “25 women in robotics you need to know about”. Jeannette Bohg, alumni fellow of the CLS, is one of them. Congratulations!
ETH-Professor Joachim Buhmann beschäftigt sich als Informatiker intensiv mit Fragen des Gesundheitswesens. Im Gespräch mit ETH-News erklärt er, wie Computermodelle Einzug halten werden in die Medizin. Dabei spricht er von Modellen, die so kompliziert sind, dass wir Menschen sie uns nicht mehr selbst überlegen können.
Researchers at the Max Planck Institute for Intelligent Systems (MPI-IS) have developed technology to digitally capture clothing on moving people, turn it into a 3D digital form, and dress virtual avatars with it. This new technology makes virtual clothing try-on practical.
Scientists are developing tools that allow you to digitally feel textures like wood and cotton. Listen to this twelve-minute radio show to learn about Katherine J. Kuchenbecker's research - incorporating the sense of touch into robotic and computer systems.
Progress in micro- and nano-scale science and technology has created a demand for new microsystems for high-impact applications in healthcare, biotechnology, manufacturing, and mobile sensor networks. The new robotics field of microrobotics has emerged to extend our interactions and explorations to sub-millimeter scales. Metin Sitti wrote the first textbook on micron-scale mobile robotics, introducing the fundamentals of design, analysis, fabrication, and control, and drawing on case studies of existing approaches.
Genomics, digital patient files and real-time health surveillance – never before have we had access to so much health data. Three ETH researchers explain how they extract relevant information from this sea of data and the potential benefits for personalised medicine.
Cédric de Crousaz and Julian Viereck have recently received ETH medals for their excellent Master theses. Their theses are a result of very successful collaborations between the Autonomous Motion Department at MPI-IS and the Department of Mechanical and Process Engineering and the Department of Computer Science at ETH Zurich, respectively.
ETH scientists have combined millions of images and videos into a three-dimensional, living model of the city of Zurich. The new technology has many possible applications – for example, it can analyse where and when pedestrians are on the move and parking spaces become free.
Nanorobots and other mini-vehicles might be able to perform important services in medicine one day – for example, by conducting remotely-controlled operations or transporting pharmaceutical agents to a desired location in the body. However, to date it has been hard to steer such micro- and nanoswimmers accurately through biological fluids such as blood, synovial fluid or the inside of the eyeball. Researchers at the Max Planck Institute for Intelligent Systems in Stuttgart are now presenting two new approaches for constructing propulsion systems for tiny floating bodies.
Joachim Buhmann ist Leiter des Instituts für Maschinelles Lernen an der ETH Zürich. Im Gespräch erklärt er uns, warum ihn die Angstvorstellungen von Stephen Hawking kaltlassen, was der „Heilige Gral“ des maschinellen Lernens ist und warum Depressionen unausweichlich sind, wenn der Mensch lediglich als Denkmaschine gesehen wird.
Exoplanets are planets beyond our own solar system. Since they do not emit much light and moreover are very close to their parent stars they are difficult to detect directly. Using machine learning, observations of the brightness of the parent star can be used to train a system to predict the errors and correct the light curves.
Peer Fischer, head of the Micro- Nano- and Molecular Systems Lab at the Max Planck Institute for Intelligent Systems and Professor of Physical Chemistry, University of Stuttgart, has received the World Technology Award 2016. Together with his group, he has developed new 3D nanofabrication methods and nanorobots, made the first reciprocal microswimmer, and realized the first swimming soft microrobot that moves using only body shape changes.
Prof. Dr. Margarita Chli, 33, forscht als Assistenzprofessorin auf dem Gebiet «Computervision für Robotik» an der ETH Zürich. Was sie an ihrem Beruf so fasziniert und wie sie die technologische Zukunft sieht, verrät sie im Interview.
One day, microrobots may be able to swim through the human body like sperm or paramecia to carry out medical functions in specific locations. Researchers from the Max Planck Institute for Intelligent Systems in Stuttgart have developed functional elastomers, which can be activated by magnetic fields to imitate the swimming gaits of natural flagella, cilia and jellyfish.
Menschen mit körperlichen Behinderungen messen sich dank neuester technischer Assistenzsysteme in sechs anspruchsvollen Disziplinen.
Der neue Roboter der ETH Zürich kann klettern und springen wie ein Tier und soll künftig in unwegsamem Gelände eingesetzt werden. Er könnte zum Beispiel nach einem Erdbeben helfen, verschüttete Menschen zu finden.
Young, excellent and motivated - Jonas Peters has been elected as one of new members in natural sciene / mathematics to the "Junge Akademie" and will contribute to the interdisciplinary work of this organization.
Thomas Hoffmann wollte schon als Kind Professor werden. Heute arbeitet er am Institut für Maschinelles Lernen der ETH Zürich. Der 25-jährige Patrick Frei studiert Informatik im vierten Studienjahr. Hier sprechen sie über ihre beruflichen Träume – und über die Realität.
The Max Planck ETH Center for Learning Systems (CLS) invites all associated PhD fellows of the center to apply for the new CLS Exchange Fellowships. This program will allow highly motivated PhD students with excellent track records to spend 3-12 months at the other institution, ETH Zurich and MPI Tübingen/Stuttgart, respectively. The aim is to foster cross-institutional collaborations within the center and to create an added value for the PhD students.
Medal-Marathon for Robotics Researcher: Tübingen – Stockholm – Berlin – Stockholm – Tübingen. Ludovic Righetti receives within 24 hours two renowned prizes for young researchers for his outstanding science on movements of robots.
He develops walking robots that move like living creatures: Marco Hutter is an Assistant Professor at the Institute of Robotics and Intelligent Systems and a fellow of the Society in Science. One day his machines might be able to carry out the menial and dangerous work human beings would rather avoid.
Body Labs (bodylabs.com), the provider of the world's most advanced technology for analyzing the human body's shape, pose and motion, announced that Michael J. Black, Body Labs co-founder and founding director leading the Perceiving Systems Department at the Max Planck Institute for Intelligent Systems, will be inducted as a foreign member of the Royal Swedish Academy of Sciences.
Founded in 1652, the Leopoldina is one of the oldest academies of science in the world. It is dedicated to the advancement of science for the benefit of humankind and to the goal of shaping a better future. With some 1,500 members, the Leopoldina brings together outstanding scientists from Germany, Austria, Switzerland and many other countries.
Ein weicher Aktuator aus elektrisch steuerbaren Membranen könnte Menschen die gefahrlose Interaktion mit Maschinen ermöglichen. Forscher des Max-Planck-Instituts für Intelligente Systeme in Stuttgart stellen nun ein Bewegungssystem vor, das für Menschen ungefährlich ist und sich platzsparend in Roboter integrieren lässt.
Huge amounts of posts in social media are generated every day. People share their opinions and sentiments about what is going on in the world. To evaluate these opinions automatically computers can interpret and “understand” the content and also in particular the attitude of a writer. At one of the most important international competitions in text sentiment analysis two ETH Master’s students designed the most accurate algorithm worldwide. Jan Deriu and Maurice Gonzenbach won the 2016 SemEval text sentiment classification competition, placing first out of 34 teams from all over the world.
The most important German prize for junior scientists is awarded annually by the German Research Foundation (DFG). One of the awardees is Ludovic Righetti from Max-Planck-Institute for Intelligent Systems. He is investigating how robots can be taught to walk. He models his ideas on movement patterns from nature such as the climbing skills of animals.
Ciliates can do amazing things: Being so tiny, the water in which they live is like thick honey to these microorganisms. In spite of this, however, they are able to self-propel through water by the synchronized movement of thousands of extremely thin filaments on their outer skin, called cilia. Researchers from the Max Planck Institute for Intelligent Systems in Stuttgart are now moving robots that are barely perceptible to the human eye in a similar manner through liquids.
As domestic help, healthcare assistants or emergency response units: robots are suitable for these jobs only if they are capable of learning and acting independently, at least to a certain extent. Stefan Schaal and the members of his Autonomous Motion Department at the Max Planck Institute for Intelligent Systems in Tübingen are teaching machines to become flexible and autonomous.
Gastroscopy usually requires patients to swallow an endoscope tube. Although camera-carrying capsules are also suitable for the task, it is still not possible to control them. Scientists at the Max Planck Institute for Intelligent Systems in Stuttgart plan to change all that. And their tiny capsule-shaped robots can do a lot more than merely take snapshots of the stomach’s interior.
A time may yet come when everyone has their own chauffeur-driven car – if robots take the wheel, that is. In order for autonomous vehicles to become a reality without huge technical outlay, however, computers will have to be able to assess complex traffic situations at least as well as drivers do. Andreas Geiger and his team at the Max Planck Institute for Intelligent Systems in Tübingen are working to develop the necessary software.
Machines will become not just more intelligent in the future, but also more capable of learning. To promote research in this field, ETH Zurich and the Max Planck Society officially open the Max Planck ETH Center for Learning Systems today. The scientists want to understand the theoretical principles of learning and how these can be applied to real machines.
For humans, and for animals in general, it is normal; but machines have first to learn it: how to learn. To assist them in this process, the Max Planck Society and the ETH Zurich have set up the Max Planck ETH Center for Learning Systems. The researchers at the Center want to understand what the principles of learning are - in theory as well as in real machines.