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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
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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. ....

Laguna Yanahuanca , Mount Huascaran , United States , Ohio State University , New Mexico , Santa River , Peru General , Victor Morales , Ted Alexander , Parque Ginebra , Saul Lliuya , Cesar Portocarrero , Jorge Recharte , Beatriz Fuentealba , Lonnie Thompson , Jesus Gomez , Martin Jaggi , Johanna Debiase , Eric Mack , Boy Scouts , National Research Institute On Glaciers , Mountain Institute , Huascaran National Park , Technology For Development , Swiss Agency For Development Cooperation , University Of Zurich ,

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 comput ....

Thijs Vogels , Praneeth Karimireddy , Martin Jaggi , Communications Sciences , School Of Computer , Optimization Laboratory , Artificial Intelligence , Graphics Processing Units , Machine Learning , Sai Praneeth Karimireddy , Climate Change , Deep Learning , மார்டின் ஜாகி , தகவல்தொடர்புகள் அறிவியல் , பள்ளி ஆஃப் கணினி , தேர்வுமுறை ஆய்வகம் , செயற்கை உளவுத்துறை , கிராபிக்ஸ் ப்ரோஸெஸிஂக் அலகுகள் , இயந்திரம் கற்றல் , காலநிலை மாற்றம் , ஆழமான கற்றல் ,

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 condi ....

Adrian Ionescu , Wolf Hautz , Alexander Meyer , Stichting Imec , Kamiar Aminian , Jan Kerschgens , David Atienza , Martin Jaggi , University Of Twente , Optimization Laboratory , Nanoelectronic Devices Laboratory , School Of Engineering , University Of Bern , Laboratory Of Movement Analysis , Systems Laboratory , German Heart Center Berlin , Intelligent Systems , Devices Laboratory , Embedded Systems Laboratory , Movement Analysis , Machine Learning , Alexander Meyer Chief Medical Information Officer , Data Science , Executive Director , அலெக்சாண்டர் மேயர் , டேவிட் ஆதிேன்ச ,

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 ....

Adrian Ionescu , Wolf Hautz , Alexander Meyer , Stichting Imec , Kamiar Aminian , Jan Kerschgens , David Atienza , Martin Jaggi , University Of Twente , Optimization Laboratory , Nanoelectronic Devices Laboratory , School Of Engineering , University Of Bern , Laboratory Of Movement Analysis , Systems Laboratory , German Heart Center Berlin , Intelligent Systems , Devices Laboratory , Embedded Systems Laboratory , Movement Analysis , Machine Learning , Alexander Meyer Chief Medical Information Officer , Data Science , Executive Director , அலெக்சாண்டர் மேயர் , டேவிட் ஆதிேன்ச ,