Gautam Shroff
@gmshroff
ID: 100105247
29-12-2009 02:04:05
75 Tweet
478 Followers
178 Following

This week, we continue to celebrate #WomeninResearch. Watch Senior Scientist Dr. Rekha Singhal, Rekha singhal, talk about personal traits that have guided her to #research, and her fulfilling career at #TCSResearch. #inventingforimpact #womeninscience



Thanks SIGKDD 2025 for continuing hosting this event since 2015 with the KDD Conference. iKDD Balaraman Ravindran Manish Gupta Gautam Shroff Raj Sharma
Chap 11 of this excellent book by Kenneth Stanley should be required reading for all reviewers in AI conferences; and the whole book for anyone having to ‘manage’ research (like myself!). scholar.google.co.in/citations?view…

Dr. Gautam Shroff, TCS Fellow, SVP & Head, TCS Research, Tata Consultancy Services recently shared valuable insights in his Keynote Session ‘Cutting Edge of AI from India for the World' at the #NASSCOMXperienceAI Virtual Summit 2021. Watch full video here bit.ly/3ig8stV Gautam Shroff nasscom

40 years ago, this month, TCS Research was born. We salute the visionary who started the Software Research Lab in Tata Consultancy Services - Prof. Kesav Vithal Nori. Click to hear Professor Nori speak about how it all began - bit.ly/3EkVj #TCSResearch #Research #TCS #40andforward

Continual learning is usually motivated by trying to mimic plasticity/stability in brains. Here we present a practical motivation in an industry-inspired setting where task dimensions also vary. #inventingforimpact TCS Research Yann LeCun
I enjoyed this conversation with Kunal from Analytics Vidhya with his well informed questions.
Turned 60 and 'retired' from TCS Research. But not 'tired': joined IIIT Delhi as a professor. Some research to continue - analogy (e.g. arcprize.org), finance (e.g. numer.ai). Plus working on an ed-tech initiative, and hope to post more often too.
Further to Gary Marcus and other who rightly point out that #DeepSeek is 'just' more efficient, not 'better', one wonders if having lots of cheap agents debating can give 'better' results: enough for researchers to do now, even without the big $$!