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Computer scientists at ETH Zurich discover new class of vulnerabilities in Intel processors, allowing them to break down barriers between different users of a processor using carefully crafted instruction sequences. Entire processor memory can be read by employing quick, repeated attacks. Anyone who speculates on likely events ahead of time and prepares accordingly can react quicker to new developments.

A team from the University of Geneva has shown that particles can be measured jointly without bringing them together - a key advance for quantum communication and computing. Quantum physics keeps challenging our intuition. Researchers at the University of Geneva have shown that joint measurements can be carried out on distant particles, without the need to bring them together.

Researchers have discovered key 'units' in large AI models that seem to be important for language, mirroring the brain's language system. When these specific units were turned off, the models got much worse at language tasks. Large Language Models (LLMs) are not just good at understanding and using language, they can also reason or think logically, solve problems and some can even predict the thoughts, beliefs or emotions of people they interact with.

In just 15 minutes, training with a simulator enabled professional field hockey players to significantly improve their perceptive skills in front of the opposing net. This new approach, developed by researchers at the University of Fribourg's Perception and Control Laboratory, enables players to better and more quickly identify the area of the goal least covered by the goalkeeper.

Researchers have developed a method that makes AI responses increasingly reliable. Their algorithm specifically selects data relevant to the question. In addition, even AI models up to 40 times smaller achieve the same output performance as the best large AI models. ChatGPT and alike often amaze us with the accuracy of their answers, but unfortunately, they also repeatedly give us cause for doubt.

Researchers have developed the first AI model of language in the brain that captures both how neurons are arranged and how they function. Our brain is a very organized place. Neurons - the nerve cells responsible for transmitting electrical and chemical signals throughout the body - are organized on tissue, tending to cluster together in groups according to how they function.

New miniature laboratories are ensuring that artificial intelligence (AI) doesn't make mistakes. They provide a controlled test environment where algorithms and AI models can be checked before being put to work under real-life conditions. The aim is for AI to work reliably. Anyone who develops an AI solution sometimes goes on a journey into the unknown.

The Euclid mission delivers its first batch of data-valuable information to help unravel, among other things, the mystery of dark matter. The European Space Agency's (ESA) Euclid mission has unveiled its first public data, offering unprecedented insights into the structure and evolution of the Universe.

Scientists at EPFL and IBM Research have developed a compact optical amplifier based on a photonic chip that vastly outperforms traditional optical amplifiers in both bandwidth and efficiency. This breakthrough could reshape data center interconnects, AI accelerators, and high-performance computing.

Researchers have achieved a remarkable result: capturing and studying phase changes in quantum hardware, which hold hold promise for next-generation technologies like quantum computing and ultra-sensitive sensors. Phase transitions, like water freezing into ice, are a familiar part of our world. But in quantum systems, they can behave even more dramatically, with quantum properties such as Heisenberg uncertainty playing a central role.

To extend the lifespan of existing railway bridges and conserve resources, researchers are working with Swiss Federal Railways (SBB) to develop new prediction models using machine learning algorithms. An AI assistant also helps civil engineers with the design of new bridges. Images of a collapsed tram bridge over the River Elbe in Dresden were seen around the world in September 2024.

By applying techniques from explainable artificial intelligence, engineers can improve users' confidence in forecasts generated by artificial intelligence models. This approach was recently tested on wind power generation by a team that includes experts from EPFL. Explainable artificial intelligence (XAI) is a branch of AI that helps users to peek inside the black-box of AI models to understand how their output is generated and whether their forecasts can be trusted.

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. Researchers from ETH Zurich, the Bulgarian AI research institute INSAIT - created in partnership with ETH and EPFL - and the ETH spin-off LatticeFlow AI have provided the first comprehensive technical interpretation of the EU AI Act for General Purpose AI (GPAI) models.

Predicting the behavior of many interacting quantum particles is a complicated process but is key to harness quantum computing for real-world applications. A collaboration of researchers led by EPFL has developed a method for comparing quantum algorithms and identifying which quantum problems are the hardest to solve.

EPFL professor's passion for sustainable flying and expertise in machine learning and computer vision drives innovation in green aviation design and beyond. Aerodynamic shape optimization (ASO) is a key technique in aerodynamic design aimed at enhancing an object's physical performance while adhering to specific constraints.

An AI research collaboration led by EPFL professor Alexander Mathis creates a model which provides deep insights into hand movement, which is an essential step for the development of neuroprosthetics and rehabilitation technologies.

Researchers have found that AI large language models, like GPT-4, are better at predicting what comes next than what came before in a sentence. This "Arrow of Time" effect could reshape our understanding of the structure of natural language, and the way these models understand it. Large language models (LLMs) such as GPT-4 have become indispensable for tasks like text generation, coding, operating chatbots, translation and others.

Whether it's folk music, a theater festival or game design: culture thrives on encounters between people, their works and their activities. Technology has always played an important role in this. But what are the current interdependencies between digital possibilities and cultural creation? A three-part TA-SWISS project is taking a close look at the opportunities and risks of digitalization in the cultural sector.

Researchers from EPFL have developed a next-generation miniaturized brain-machine interface capable of direct brain-to-text communication on tiny silicon chips. Brain-machine interfaces (BMIs) have emerged as a promising solution for restoring communication and control to individuals with severe motor impairments.

Are you concerned about hackers stealing your fingerprint and face data for accessing your smartphone? researchers have found numerous security flaws in Android's most privileged components before hackers do and give advice to users on how to reduce risks. researchers in computer and communication sciences are hacking and fixing Android phones before malicious hackers do.