Uploaded November 2022 | Updated September 2026, 16 hours ago
In October, during Amazon’s Machine Learning Conference (AMLC 2022), Antonio Torralba, Delta Electronics Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT) and Head of the AI+D faculty in the EECS department, gave a keynote titled, "Learning to See by Looking at Noise".
Torralba received a degree in telecommunications engineering from Telecom BCN, Spain in 1994 and a Ph.D. degree in signal, image, and speech processing from the Institut National Polytechnique de Grenoble, France in 2000. From 2000 to 2005, he spent postdoctoral training at the Brain and Cognitive Sciences Department and the Computer Science and Artificial Intelligence Laboratory, MIT, where he is now a professor. Learn more about Torralba's work here: https://groups.csail.mit.edu/vision/torralbalab/
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In October, during Amazon’s Machine Learning Conference (AMLC 2022), Antonio Torralba, Delta Electronics Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT) and Head of the AI+D faculty in the EECS department, gave a keynote titled, "Learning to See by Looking at Noise".
Torralba received a degree in telecommunications engineering from Telecom BCN, Spain in 1994 and a Ph.D. degree in signal, image, and speech processing from the Institut National Polytechnique de Grenoble, France in 2000. From 2000 to 2005, he spent postdoctoral training at the Brain and Cognitive Sciences Department and the Computer Science and Artificial Intelligence Laboratory, MIT, where he is now a professor. Learn more about Torralba's work here: https://groups.csail.mit.edu/vision/torralbalab/
Read more on Amazon Science: amzn.to/3vbL1YN
Follow us:
Website: https://www.amazon.science
Twitter: twitter.com/AmazonScience
Facebook: facebook.com/AmazonScience
Instagram: instagram.com/AmazonScience
LinkedIn: linkedin.com/showcase/AmazonScience
Newsletter: https://www.amazon.science/newsletter
#AmazonScience #MachineLearning










