Machine learning is increasingly seen as a method with which to attempt difficult problems in a range of fundamental science areas. Over a period of a decade, dramatic developments in ML architectures and the availability of fast computing has allowed us to overcome many of the limitations associated with standard scientific methodologies. Additionally, some of the most significant contributions have been made by research divisions in commercial enterprises. This has led TIFR as whole to seek to build an industry-academia consortium to take on significant disciplinary challenges using ML techniques in collaboration with industry partners. This day-long discussion meeting brings together interested faculty from all TIFR centres and ML scientists in industry to develop a scientific collaboration plan.
Participation in this discussion meeting is by invitation only.