nn n 13.12.24 – EPFL’s Professor Tobias J. Kippenberg, in collaboration with leading European researchers, has secured a prestigious ERC Synergy Grant to advance the ATHENS project, which aims to revolutionize optical data transmission.n The European Research Council (ERC) Synergy … Continue reading →
nn n 04.12.24 – Scientists at EPFL have made important progress in quantum technology, achieving strong coupling between quantum dots in Germanium and microwave photons, paving the way for scalable quantum computing based on spin qubits.n Quantum computing is poised … Continue reading →
nn n 03.12.24 – Michael Grätzel, Xile Hu, Tobias J. Kippenberg, Mohammad Nazeeruddin, Henning Stahlberg, and Shaik Mohammed Zakeeruddin, six professors at EPFL’s School of Basic Sciences (SB), have been included in the prestigious list of most Highly Cited Researchers … Continue reading →
nn n 30.10.24 – EPFL chemical engineers have developed a way to build metal clusters – with near atomic precision – in a method that has the potential to improve catalysts and accelerate chemical reactions including turning carbon dioxide into high … Continue reading →
nn n 18.10.24 – 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 … Continue reading →
nn n 09.10.24 – The 2024 Nobel Prize in Physics has been awarded to John J. Hopfield and Geoffrey E. Hinton for the invention of artificial neural networks which lie at the heart of machine learning and artificial intelligence. Among the many … Continue reading →
nn n 16.09.24 – 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 … Continue reading →
nn n 10.09.24 – 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.n Image: Still image from simulation of the formation … Continue reading →
nn n 02.09.24 – Scientists at EPFL have developed an AI tool that creates detailed models of cellular metabolism, making it easier to understand how cells function. n Understanding how cells process nutrients and produce energy – collectively known as metabolism … Continue reading →
nn n 26.07.24 – EPFL and Purdue scientists create a coherent interface between microwaves and near-infrared light to help scale up future quantum networks.n A team of researchers at EPFL, led by Prof. Tobias Kippenberg, in collaboration with Prof. Sunil … Continue reading →