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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.

Researchers have developed a novel neural recording device called the "e-Flower" that gently wraps organoids in soft petals. Neural spheroids - 3D clusters of brain cells - are emerging as essential tools for understanding neural networks and studying neurological diseases in the lab. EPFL's e-Flower, a flower-shaped 3D microelectrode array (MEA), allows researchers to monitor the electrical activity of these spheroids in a way that was previously impossible.

Blocking the enzyme ACMSD can significantly reduce damage caused by metabolic liver disease according to a study from EPFL. Metabolic dysfunction-associated steatotic liver disease (MASLD) - previously known as "non-alcoholic fatty liver disease" - affects about 25% of the global population. Its severe form, metabolic dysfunction-associated steatohepatitis (MASH), can lead to liver fibrosis and even liver failure.

Researchers developed a rating system to evaluate the plausibility of climate model simulations in the IPCC's latest report, and show that models that lead to potentially catastrophic warming are to be taken seriously. What will the future climate be like? Scientists around the world are studying climate change, putting together models of the Earth's system and large observational datasets in the hopes of understanding - and predicting over the next 100 years - the planet's climate.

An EPFL study has revealed the impact of five common personal care products when they're used in enclosed spaces. Surprisingly, when they come into contact with ozone, the products spark chemical reactions generating new air pollutants. The personal care products we use on a daily basis significantly affect indoor air quality, according to new research by a team at EPFL.

Researchers at EPFL have uncovered a new class of transcription factors that play a crucial role in gene regulation, offering fresh perspectives on how cells maintain their identity and function. Every cell in our body contains the same DNA, yet liver cells are different from brain cells, and skin cells differ from muscle cells.

A team of scientists has provided insight into the mechanisms at work in geothermal reservoirs located deep underground, known as supercritical reservoirs. Through a combination of computer simulations and lab experiments, they showed that rocks located between five and eight kilometers deep in the Earth's crust are also permeable to fluids.

Engineers at EPFL and ETH Zurich have come up with a new approach for reducing traffic congestion in large cities during rush hour. Their system is designed to be both fair and effective. Rush-hour traffic congestion is a major headache for commuters and a real problem for city planners. Worldwide, a huge amount of time is wasted stuck in traffic.

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.

In a discovery that sheds light on the complex mechanisms of gene regulation, scientists at EPFL have uncovered a critical role for the protein ZNF274 in keeping certain gene clusters turned off by anchoring them to the cell nucleolus. Our DNA is not just a string of genes; it's a complex and dynamic structure where the spatial organization within the nucleus plays a crucial role in regulating which genes are turned on or off.

Results from a preclinical study in mice, led by EPFL, and a collaborative clinical study in patients show that the type 2 immune response - associated with parasitic infection and thought to play a negative role in cancer immunity - is positively correlated with long-term cancer remission. In 2012, 7-year-old Emily Whitehead became the first pediatric patient to receive pioneering chimeric antigen receptor (CAR-T) therapy to fight the recurrence of acute lymphoblastic leukemia (ALL).

Thanks to recent advances in artificial intelligence (AI), civil engineers can inspect large-scale infrastructure more efficiently and cost-effectively, while also monitoring the progression of damage severity over time. A team of researchers has demonstrated the feasibility of an AI-driven method for crack detection, growth and monitoring, and will soon test it on the railway section between Zermatt and Brig in Valais Canton.

A new EPFL paper has found that students are cautious towards AI feedback, highlighting the complexity of integrating it into educational feedback systems. Feedback plays a crucial role in learning, helping individuals to understand and improve their performance, yet globally large and diverse student populations often mean that providing timely and personalized observations can be a challenge.

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.

An AI-powered tool developed at EPFL can distinguish dark matter's elusive effects from other cosmic phenomena, which could bring us closer to unlocking the secrets of dark matter. Image: Still image from simulation of the formation of dark matter structures from the early universe to today. Gravity makes dark matter clump into dense halos, indicated by bright patches, where galaxies form.

Researchers at EPFL unlock a detailed understanding of brain and spinal cord interactions. The tool that paves the way for future research breakthroughs and innovative therapeutic approaches. The brain and spinal cord are the central pillars of the human central nervous system (CNS), orchestrating everything from movement to sensation.

Scientists at EPFL have developed an AI tool that creates detailed models of cellular metabolism, making it easier to understand how cells function. Understanding how cells process nutrients and produce energy - collectively known as metabolism - is essential in biology. However, analyzing the vast amounts of data on cellular processes to determine metabolic states is a complex task.

Medical imaging technology - such as MRI, ultrasound and X-ray - is gaining in power and precision, especially in the wake of recent breakthroughs in artificial intelligence. Several EPFL research groups are contributing to this progress and actively shaping the future in this area. Thanks to advances in medical imaging, doctors can localize a bone fracture, detect a tumor and observe a baby inside the uterus, all'in a completely noninvasive manner.

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.