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Blick Romandie teams up with EPFL to deliver science journalism

Climate change has made the world s deadliest lake way more dangerous

Climate change has made the world s deadliest lake way more dangerous Eric Mack, provided by FacebookTwitterEmail Small dams were built around Lake Palcacocha in the 1970s, when it was a fraction of its current volume.Eric Mack/CNET Editors note: For Earth Day 2021, we re checking in on progress made in confronting climate change. In this story, Eric Mack investigates the complicated challenges facing people in Peru living under the constant threat of glacial lake outburst floods. Since the story originally came out in late 2019, the danger has seemingly increased in the Andes, as evidenced by a in 2020. I m standing on a 45-year-old dam high in the Peruvian Andes, gripped by a mix of awe and terror.

EPFL algorithm in world s most popular deep learning software

Artificial Intelligence technology © 2021 4X-image PyTorch is used for countless AI applications ranging from Tesla’s Autopilot to Facebook’s translation software and its latest version, just launched, features an EPFL communication-efficient training algorithm that even helps the planet. Deep learning is part of a broader family of machine learning methods, based on artificial neural networks, and has allowed us to develop everything from voice and image recognition tools, enhance drug discovery and toxicology, and improve financial fraud detection. As the applications of machine learning become bigger, more complex and increasingly ubiquitous in our modern, digital age, neural networks have grown tremendously in size, consisting of trillions of connections. To train these models faster, researchers typically distribute the training effort over many computers or Graphics Processing Units yet, just like humans that collaborate to solve a task, collaborating computers also suf

Digipredict digital twin will predict the evolution of Covid-19

Under a cross-disciplinary program spearheaded by EPFL, scientists will develop an AI-based system that can predict whether Covid-19 patients will develop severe cardiovascular complications and, in the longer term, detect the likely onset of inflammatory disease. Covid-19 comes with a range of symptoms – from a sore throat and the loss of taste to more serious ones like lung failure. But how can doctors predict how serious the disease will be when it first manifests? “The interaction between the viral infection, the host’s response, and the development of cardiovascular inflammation and injury is still poorly understood. It’s hard to know whether a patient’s symptoms will remain mild or rapidly deteriorate and trigger multiple organ failure,” says Adrian Ionescu, a professor at EPFL’s Nanoelectronic Devices Laboratory, within the School of Engineering. If doctors could use a scientific method to better understand and predict the likelihood of a patient’s condition w

Digipredict digital twin will predict evolution of Covid-19

© 2020 EPFL Under a cross-disciplinary program spearheaded by EPFL, scientists will develop an AI-based system that can predict whether Covid-19 patients will develop severe cardiovascular complications and, in the longer term, detect the likely onset of inflammatory disease. Covid-19 comes with a range of symptoms – from a sore throat and the loss of taste to more serious ones like lung failure. But how can doctors predict how serious the disease will be when it first manifests? “The interaction between the viral infection, the host’s response, and the development of cardiovascular inflammation and injury is still poorly understood. It’s hard to know whether a patient’s symptoms will remain mild or rapidly deteriorate and trigger multiple organ failure,” says Adrian Ionescu, a professor at EPFL’s Nanoelectronic Devices Laboratory, within the School of Engineering. If doctors could use a scientific method to better understand and predict the likelihood of a patient�

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