New “Sight and Sound” Algorithms to Identify COVID-19 Patterns
About a year ago, when the novel coronavirus broke out, medical science not only failed to arrest its spread but also to properly identify the developmental stages of the disease. Many casualties resulted because the progression of the disease was an enigma. In the later part of the year, there were nascent attempts to harness AI for COVID-19 diagnosis, treatment, and monitoring. A giant step in that direction has been taken recently by researchers at EPFL; they have developed algorithms that can practically see and hear COVID in a patient’s lungs.
EPFL Scientists Spearhead Deep Learning Efforts to Clear Space Debris
At least three EPFL laboratories are working in tandem on the project: Computer Vision Laboratory led by Professor Pascal Fua, Realistic Graphics Lab led by Assistant Professor Wenzel Jakob, and Embedded Systems Lab spearheaded by Professor David Atienza (also a faculty member at EcoCloud).
Anne-Marie Kermarrec Joins EcoCloud
EcoCloud is happy to announce that Anne-Marie Kermarrec, Professor in the School of Computer and Communication Sciences at EPFL, has now come aboard the EcoCloud faculty.