Lecture 1 (Public Lecture): 6 January 2020, 4:00 PM
Title: Artificial intelligence: success, limits, myths and threats
Abstract:
Artificial Intelligence is about to have a dramatic impact on many sectors of human activity. In the last ten years, thanks to the development of machine learning in “deep networks”, we have experienced spectacular breakthroughs in diverse applications such as automatic interpretation of images, speech recognition, consumer profiling, or go and chess playing. Algorithms are now competing with the best professionals at analyzing skin cancer symptoms or detecting specific anomalies in radiology; and much more is to come. Worrisome perspectives are frequently raised, from massive job destruction to autonomous decision-making “warrior” robots.
In this talk, we shall open the black box of deep networks and explore how they are programmed to learn from data by themselves. This will allow us to understand their limits, to question whether their achievements have anything to do with “intelligence”, and to reflect on the foundations of scientific intelligence.
Venue: Chandrasekhar Auditorium, ICTS-TIFR, Bengaluru
Lecture 2: Tuesday 7th January 2020, 9:30 AM
Title: Statistical physics and statistical inference
Venue: Madhava Hall, ICTS-TIFR, Bengaluru
Lecture 3: Wednesday 8th January 2020, 9:30 AM
Title: Ensembles and Structured Data in Physics and Inference
Venue: Madhava Hall, ICTS-TIFR, Bengaluru
This lecture is part of the 'Statistical Physics of Machine Learning' discussion meeting.