ETH News

Vice President of Research Christian Wolfrum is leaving ETH as of 1 July 2025 to take up a new academic challenge: he is to become Deputy President and Provost responsible for all academic matters at Nanyang Technological University, Singapore (NTU Singapore).

The EU AI Act is designed to ensure that AI is transparent and trustworthy. For the first time, ETH computer scientists have translated the Act into measurable technical requirements for AI. In doing so, they have shown how well today's AI models already comply with the legal requirements.

Where is generative AI already proving its worth in teaching and what are its limits? Will avatars soon replace lecturers? In this interview, Jan Vermant, Vice Rector for Curriculum Development, talks about trends at ETH and his own experiences.

The first edition of the CAS ETH Machine Learning in Finance and Insurance course is coming to an end. Participants particularly value the programme¡¯s combination of technology, ethics and practice with a view to making responsible use of artificial intelligence at their companies.

ETH Zurich and EPF Lausanne (EPFL) are intensifying their collaboration in artificial intelligence (AI). They have founded the Swiss National AI Institute (SNAI) with the aim of addressing challenges in AI by leveraging their broad scientific expertise. Funding for the related research programs has been secured.

On 14 September, ETH Zurich officially inaugurated the new 'Alps' supercomputer at the Swiss National Supercomputing Centre (CSCS) in Lugano. The celebrations in Lugano were attended by Federal Councillor Guy Parmelin and well-known personalities from the worlds of science and politics.

Machine learning, AI and new technologies are rapidly changing industry. The CAS ETH in AI and Software Development is aimed at managers who want to make better informed decisions for their companies. It is part of the new MAS in AI and Digital Technology.

When the Earth¡¯s ice masses melt, the way the planet rotates also changes. Researchers at ETH Zurich have now been able to show how climate change is altering the Earth¡¯s axis of rotation and the length of the day. The speed of rotation, which was hitherto mainly influenced by the moon, will now also depend much more on the climate.

Everyone talks about Artificial Intelligence but its current adoption rates are low in the Swiss tech industry, especially in manufacturing-related applications. This is one conclusion of a survey conducted by ETH Zurich in collaboration with Swissmem and Next Industries. Professor Torbj?rn Netland, responsible for the report, explains why Swiss tech companies are still faring well in an international comparison and how they can release the potential.

ETH¡¯s outstanding reputation attracts top-flight researchers from all over the world. This pool of talent makes Zurich a major draw for global companies such as Microsoft.

Since 2003, when Joachim Buhmann became an ETH professor, he has helped shape the explosive development of machine learning. It is not technical progress that worries him, but how society deals with it. Shortly before his retirement, he looks back on his academic career.

Dirk Helbing expects future digital technologies to penetrate the human body even more in the future. However, he believes that society is not prepared for the risks involved. He puts forward a new legal framework to protect our most intimate data from misuse.

A new computer process developed by chemists at ETH Zurich makes it possible to generate active pharmaceutical ingredients quickly and easily based on a protein¡¯s three-dimensional surface. The new process could revolutionise drug research.

Monitoring and treating a case of multiple sclerosis requires reliable and long-term data on how the disease is progressing in the person in question. Fitness trackers and smartphones can supply this data, as a research team led by ETH Zurich has now shown.

Artificial intelligence is transforming the way in which art is created and experienced. Are we at the beginning of a new artistic revolution? Or at the end of creativity as we know it? Adrian Christopher Notz puts things in perspective.

ETH spin-off Scanvio is developing an algorithm that can be used to analyse ultrasound images of the womb on an automated basis. This should enable doctors to diagnose endometriosis more quickly in the future.

The quadrupedal robot ANYmal went back to school and has learned a lot. ETH Zurich researchers used machine learning to teach it new skills: the robot can now climb over obstacles and successfully negotiate pitfalls.

Researchers from ETH Zurich and KUNO Klinik St. Hedwig in Regensburg have developed an algorithm that provides an automatic and reliable method of detecting a certain heart defect in newborns.

Artificial intelligence and automated laboratory infrastructure are massively accelerating the development of new chemical catalysts. With these tools, researchers at ETH Zurich are developing catalysts for efficiently and cost-effectively synthesising the energy source methanol from CO₂.

What began as a venture quickly proved its worth: The ETH Bachelor in Human Medicine is well received by graduates and has helped to establish ETH Zurich in the Swiss medical education landscape. In a video, five graduates talk about what makes studying medicine at ETH so special.

Snow measurement has never been so fast and accurate: ETH Zurich researchers have developed an artificial intelligence capable of determining snow depth across Switzerland using satellite images.

Seismologist Andreas Fichtner uses the newest technologies to explore the interior of the Earth. His research with seismic waves has also found applicability in the field of medicine. ?

ETH Zurich and EPFL are launching the ¡°Swiss AI Initiative¡±, whose purpose is to position Switzerland as a leading global hub for the development and implementation of transparent and reliable artificial intelligence (AI). The new Alps supercomputer based at the Swiss National Supercomputing Centre (CSCS) provides the supporting world-class infrastructure.

A new AI model developed by chemists at ETH Zurich can not only predict where a pharmaceutically active molecule can be chemically modified, but also how best to do it. This makes it possible to identify new pharmaceutical ingredients more quickly and improve existing ones in a targeted manner.

A new ETH study compares 27 humanoid robots with humans and comes to the conclusion that while robots have better components, they are still not capable of achieving as much. However, according to the authors of the study, the machines are catching up.

Experts from ETH Zurich, the University of Zurich, and the University Hospital Zurich have used machine learning to jointly create an innovative method. This new approach can predict how individual cells react to specific treatments, offering hope for more accurate diagnoses and therapeutics.

With its ability to write text and generate images, artificial intelligence is making inroads into many areas of life. Perceived as threatening, enriching or just plain gimmicky, AI also raises a fundamental question: what is it that makes us human?

Large language models such as GPT-3 are able to learn new concepts by interacting with their users. Researchers at ETH and Google may now have uncovered a key mechanism behind this capability.

Mathematician Siddhartha Mishra has been awarded this year's R?ssler Prize for his research on solutions for highly complex flow and wave phenomena. He is being recognised for his contributions to faster and more accurate predictions of weather, climate and tsunamis, and for the computer simulations that enable them.

Ethicist Peter G. Kirchschlaeger highlights how artificial intelligence can be regulated worldwide ¨C and is pleased to have the support of leading international figures.

Using applied mathematics, Yunan Yang finds solutions to the inverse problems that arise in seismology, weather forecasts, and machine learning. The key to her success is something called optimal transport.

The Collegium Helveticum opens an exhibition this weekend that is all about data, patterns and artificial intelligence.

For Florian D?rfler, control engineering is the cornerstone of all automation. When away from work, however, he prefers to experience nature without feedback loops.

The Morphs are here! The smart, eager-to-learn creatures are now waiting in the ETH main building for players to train them. "Morph Tales - Exploring Artificial Intelligence" is a new game from ETH Zurich that is fun to play and shows how humans and AI master tasks together.

Divers are often put at considerable risk when searching for people or objects underwater. The ETH spin-off Tethys has developed an underwater robot that can be used in situations that are too dangerous for human divers.

ETH students have developed a smart cane featuring an integrated camera that detects its surroundings and a tactile pointer that helps blind and visually impaired individuals navigate their way safely.

Artificial intelligence promises to support judges in their decision-making. In fact, it renders their decisions and tasks more complex, argues Ayisha Piotti.

Quazel*, a spin-off from ETH Zurich, has launched a language learning app that uses artificial intelligence (AI) to engage users in conversations. The AI tutor adapts to the users' language skills and corrects their mistakes.

Researchers from ETH Zurich created a new open-source platform and programming language called LMQL. This programming language makes it easier, cheaper, and safer to interact with large language models like ChatGPT.

There are concerns that ChatGPT could undermine the educational system, and growing demands for rules governing its use. Gerd Kortemeyer argues that anything but the most common sense regulations could end up being counterproductive.

Psychologist Verena Zimmermann joins computer scientists Joachim Buhmann and Elgar Fleisch to discuss whether our feelings can be measured, what role they play in human-machine interactions, and the use of smart technologies.

Researchers at ETH Zurich have developed a model that detects workplace stress just by how people type and move their computer mouse. This might enable employees to prevent chronic stress early on.

It doesn¡¯t have to be a hurricane or a tsunami ¡ª even a simple running water tap induces a shock wave upon impact with the sink. Now, with the help of the Swiss National Supercomputing Centre's (CSCS) supercomputer ¡°Piz Daint¡±, mathematician Siddhartha Mishra of ETH Zurich is working to overcome current barriers to simulating and comprehending highly turbulent flows.

Stefan Spiegel will head up Finance and Controlling at ETH Zurich starting on 1 April 2023. The 52-year-old Swiss manager and finance expert boasts extensive leadership experience in state-affiliated firms and stock-listed companies.

One of the greatest unknowns in climate change is the question of how particulate matter affects clouds. Yu Wang is using machine learning and satellite data to investigate the surprising role of these tiny particles in the atmosphere.

Are we witnessing the rise of a different, adaptive artificial intelligence (AI) that works with humans and supports them with smart decisions? Computer scientist Niao He is investigating how this kind of AI can be theoretically underpinned so that it really does provide benefits.

Elvis Nava teaches robots to carry out oral and written commands. To this end, he sends them to ¡°training camps¡± where they learn to combine image, text and motion data.

The LOOP Zurich research center combines expertise from ETH Zurich, the University of Zurich and the four university hospitals in Zurich with the aim of developing more personalized therapies. Two new projects supported by The LOOP Zurich target urinary tract infections and obesity respectively.

Four students at ETH Zurich¡¯s Student Project House have launched ¡°Generai¡±, a platform that uses artificial intelligence to create works of art.

The term "high-performance computer" already implies a high energy demand. Energy efficiency is therefore a central consideration in the procurement and use of supercomputers at the Swiss National Supercomputing Centre (CSCS) ¡ª just as it was during the planning of the new building in Lugano more than a decade ago.

Being able to try on an outfit virtually to see if it fits would result in fewer returns. Two ETH students are working on making this possible.

Autonomous virtual humans that move and behave naturally are Siyu Tang¡¯s vision. One area from which the computer scientist draws inspiration are our behavioural patterns. Collaboration with architects and surgeons provides further input ¨C and it also reveals the enormous potential of virtual people.

Researchers at ETH Zurich have developed a method to explore the possibilities of how the pandemic virus could evolve. Thanks to their work, it may be possible to develop antibody therapies and vaccines that are more likely to be effective also against future viral variants.

With the help of artificial intelligence, an international research team led by ETH Zurich has explored the Moon¡¯s permanently shadowed regions. The information they have obtained about the area¡¯s surface properties will help to identify suitable locations for future lunar missions.

Game developers from the ETH Game Technology Center have created an app that explains bone remodelling in a playful way. If students point the camera of their mobile device at the textbook, they find themselves transported to the bone¡¯s surface, where they help cells break down bone tissue.

An exhibition in the Guggenheim Museum in Bilbao, Spain, features ETH Zurich architects who show their vision of utopia - a vertical city built by drones, developed in 2012. Along with computer scientists, they have now populated the structure with autonomous avatars.

Oliver Janzer is a mathematician who specialises in graphs ¨C that is, collections of nodes that may or may not be connected, such as Facebook users. As part of his ETH Fellowship, the young researcher has been busy solving problems that had stumped mathematicians for decades.

Researchers from ETH Zurich, the University of Zurich and Empa have developed a new material for an electronic component that can be used in a wider range of applications than its predecessors. Such components will help create electronic circuits that emulate the human brain and that are more efficient at performing machine-learning tasks.

Researchers have developed a new method that uses artificial intelligence to analyse animal behaviour. This opens the door to longer-term in-depth studies in the field of behavioural science ¨C while also helping to improve animal welfare. The method is already being tested at Zurich Zoo.

Using an artificial neural network, researchers at ETH Zurich have created the first high-resolution global vegetation height map for 2020 from satellite images. This map could provide key information for fighting climate change and species extinction, as well as for sustainable regional development planning. ?

A research team from ETH Zurich and LMU Munich is using artificial intelligence to analyse 3.2 million development aid projects worldwide. Their research reveals trends and funding gaps. ?

Data contains much more than just the information on the surface. With statistics, deeper cause-and-effect relationships can be brought to light. This is what Alexander Marx is researching as a Fellow at the ETH AI Center using artificial intelligence. One of his goals is to be able to make predictions regarding diabetes in children. ?

ETH alumna Paulina Grnarova wants to use artificial intelligence to revolutionise the way the legal industry works. Her recent appearance on the Forbes 30 Under 30 list has catapulted her into the spotlight.

Today, the Institute for Computer Science, Artificial Intelligence, and Technology (INSAIT) has been launched in Sofia. INSAIT is a new Bulgarian Institute established in partnership with ETH Zurich and EPF Lausanne.

Four researchers from ETH Zurich have been awarded a Consolidator Grant from the European Research Council (ERC). Since Switzerland is no longer fully associated, they will receive the approximately eight million francs in research funding from the State Secretariat for Education, Research and Innovation (SERI).

Cookie consent banners only appear to give users control over their data. So researchers at ETH Zurich have developed a browser extension that uses machine learning to recognise and block unnecessary cookies.

Mennatallah El-Assady develops explainable AI programs that explain their own workings ¨C and let users provide input. This can help analysts take a deep dive into political debate. ?

Sounds provide important information about how well a machine is running. ETH researchers have now developed a new machine learning method that automatically detects whether a machine is "healthy" or requires maintenance.

Researchers at ETH Zurich have developed a new algorithm that allows them to model the dynamics of physical systems from observations. In the future it could be applied to the onset of turbulence and tipping points in climate.

ETH Zurich researchers led by Marco Hutter have developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine its visual perception of the environment with its sense of touch for the first time.

Researchers at ETH Zurich and the Frankfurt School have developed an artificial neural network that can solve challenging control problems. The self-learning system can be used for the optimization of supply chains and production processes as well as for smart grids or traffic control systems.

When working with neural networks, their training is the single most resource-demanding and costly process. Scientists at the ETH Zurich have now developed a software that considerably speeds up training. This will be especially relevant for scientific applications of future users of ¡°Alps¡± at CSCS.

A study under co-leadership of the ETH Zurich has shown that computer algorithms can determine antimicrobial resistance of bacteria faster than previous methods. This could help treat serious infections more efficiently in the future.

In the last application process for the sought-after ERC Starting Grants, the European Research Council made 11 awards to ETH researchers worth about CHF 17 million. Due to Switzerland¡¯s non-association, however, the researchers will not receive these grants. The funds will now be provided by the State Secretariat for Education, Research and Innovation (SERI).

Whether for squats or sit-ups, the software created by the start-up VAY alerts exercisers about incorrect movements via a smartphone screen. Now the ETH spin-off has been acquired by connected fitness equipment manufacturer Nautilus.

An electric car that runs on PV power sounds appealing. But is it really possible to enjoy flexibility with a vehicle charged through a home photovoltaic system? An ETH research team has reached some surprising conclusions.

ETH researchers are using artificial intelligence to improve quality management in digital production processes. The team has succeeded in halving the proportion of defective products in an experiment with the semiconductor manufacturer Hitachi Energy.

Researchers at ETH Zurich have succeeded, for the first time, in quickly and continuously correcting errors in digital quantum systems. This means they have overcome an important hurdle on the road to practical quantum computing.

Online hate speech can be curbed by inducing empathy for those affected. In contrast, the use of humour or warnings of possible consequences have little effects. A team of social scientists and 13 ETH Zurich students has demonstrated this in a new scientific publication.

Buildings that own and run themselves: this idea, from the think-tank Dezentrum, was put into action for the first time at ETH Zurich in the form of a prototype. The result is a meditation cabin that shakes up the usual economic and social expectations.

Collaboration between talented members of multidisciplinary teams provides the best foundation for innovative, useful and trustworthy applications of artificial intelligence. This approach has been demonstrated at a joint event by ETH Entrepreneur Club and the ETH AI Center.

Boasting an intricate, doubly curved concrete roof, lightweight funicular floors, and self-learning building technology, the latest addition to Empa and Eawag's NEST research building in Duebendorf, Switzerland officially opened today. The innovative unit illustrates nearly a decade of formative ETH Zurich research in architecture and sustainable technologies.

ETH and the Max Planck Institute for Intelligent Systems are intensifying their partnership to promote doctoral candidates and research: ETH professors Otmar Hilliges, Thomas Hofmann, Andreas Krause and Klaas P. Pr¨¹ssmann are new Max Planck fellows in T¨¹bingen and Stuttgart.

Artificial intelligence can help predict the three-dimensional structure of proteins. Beat Christen describes how such algorithms should soon help to develop tailored artificial proteins.

Torrential rain and flooding have dominated the weather over the past few weeks. To forecast these weather events with greater accuracy and gain a better understanding of them against the backdrop of global climate change, ETH Zurich and partners are developing a new generation of high-resolution weather and climate models.

Artificial intelligence and machine learning are key technologies for science, business, and society ¨C but how transparent are their decisions? Andreas Krause, the 2021 recipient of the R?ssler Prize and Chair of the ETH AI Center, shares his thoughts on the opportunities and challenges with trustworthy artificial intelligence.

From robots that offer solace to algorithms that help judges make fact-based decisions, robotics and machine learning are entering new domains that were once the preserve of humans.

How do you teach machines to learn for themselves and support people? Andreas Krause is one of Europe¡¯s leading machine learning researchers. His approaches combine mathematical elegance with a sense of social responsibility. He has now been awarded the R?ssler Prize, ETH Zurich¡¯s most generous research award.

The future quantum computers should be capable of super-fast and reliable computation. Today, this is still a major challenge. Now, computer scientists led by ETH Zurich conduct an early exploration for reliable quantum machine learning.

ETH Zurich is launching a new Centre for Augmented Computational Design in Architecture, Engineering and Construction, known as Design++. 22 professorships from multiple departments are joining forces to develop digitally augmented design tools with a view to improving the efficiency and sustainability of construction.

Fewer typing errors when touching a smartphone keyboard: ETH Computer scientists have developed a new AI solution that enables touchscreens to sense with eight times higher resolution than current devices. Thanks to AI, their solution can infer much more precisely where fingers touch the screen.

Machine learning methods help to optimise the development of antibody drugs. This leads to active substances with improved properties, also with regard to tolerability in the body.

Even minor disruptions in infrastructure systems can have fatal consequences. Researchers and practitioners counter that risk by taking action on multiple levels. Four examples.

Seervision¡¯s software operates cameras as if it were a human and facilitates video productions. The start-up has its roots at ETH Zurich, where students once developed a clunky prototype for recording lectures.

The flagship supercomputer of the CSCS, "Piz Daint", needs to be replaced. Installation of the successor computer, "Alps", is taking place in three phases and will be completed in 2023. CSCS Director Thomas Schulthess explains in an interview why the new computer is so special.

When a person taps with their fingers, each finger generates a different vibration profile propagating to the wrist through bones. ETH Zurich researchers have now leveraged this discovery in the development of a dual-sensor wristband that brings intuitive free-hand interaction to virtual productivity spaces.

A digital twin of our planet is to simulate the Earth system in future. It is intended to support policy-makers in taking appropriate measures to better prepare for extreme events. A new strategy paper by European scientists and ETH Zurich computer scientists shows how this can be achieved.

Scientists at ETH Zurich have leveraged big data from recruitment platforms and machine learning to study hiring discrimination. They show that discrimination against immigrants depends, among other things, on the time of day; and that both men and women face discrimination.

The ETH researchers behind LatticeFlow are aiming to facilitate a new generation of trustworthy artificial intelligence (AI).

For the first time, researchers at ETH Zurich have successfully automated the modelling of turbulence. Their project relies on fusing reinforcement learning algorithms with turbulent flow simulations on the CSCS supercomputer "Piz Daint".