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Making industrial robots smarter and more versatile

Making industrial robots smarter and more versatile
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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�

New, free tool adds layer of security for the software supply chain

New, free tool adds layer of security for the software supply chain
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Cooling the planet efficiently with graphene-enhanced heat pipes

768 views Researchers from Chalmers University of Technology, Sweden, have found that graphene-based heat pipes can help solve the problems of cooling electronics and power systems used in avionics, data centres and other power electronics, but this is only the tip of the iceberg. The planet can be cooled the same way. Heat pipes are one of the most efficient cooling tools because of their high efficiency and unique ability to transfer heat over a large distance. The graphene enhanced heat pipe exhibits a specific thermal transfer coefficient which is about 3.5 times better than that of copper-based heat pipe. It is made of high thermal conductivity graphene assembled films assisted with carbon fibre wicker enhanced inner surfaces, which shows great advantages and potential for cooling of a variety of electronics and power systems, especially where low weight and high corrosion resistance are required.

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