My take on AI Kumbh Mela : They went out of their way to make it possible for people from many walks of life to attend.. #IndiaAIImpactSummit2026
So going by the media accounts, all that really happened at the summit were the long security lines, lost wearables, and other more pressing first world problems like some of us not getting our millet foam at @PMOIndia dinner.
Perhaps there is another way to look at it. This is the first of the AI Summits that seemed to have allowed basically free registration to anyone who wanted to come. As far I know, the other ones in UK, Paris and Seoul were limited to mostly invited "delegates".
Opening the summit up this way meant LOTS of people showed up (as they apparently do to the other Kumbh Mela..)--estimates of registrations at 250K and daily attendance of as much as 70K. It's in a different plane all together compared to the "invited delegates only meetings", and in a different league even compared to the mega AI conferences like #NeurIPS2025.
The bigger numbers also meant longer lines, more chaos and lower signal to noise ratio for the cognoscenti.
After my panel, I met one student who brought his mother (who didn't seem particularly tech savvy) to show and tell her about AI..
I talked to a neurologist from the capital region, who showed up just to get a sense of how and whether this technology might atrophy our own cognitive skills.
A lady working in Arts and Crafts, who was trying to get a sense of how AI will affect the artists and their livelihoods.
I saw lines of women--clad in their finery--waiting for their group buses after a trip to the summit.
And I of course saw tons and tons of UG students from Indian colleges attending sessions and trying to make sense of things (however primitive some of their understanding seemed after a minute of talking to them).
Maybe some of this was orchestrated. But I would think that if AI is supposed to be such a transformative technology that would impact everyone, perhaps it is quite justified to "let everyone in"..
For that inclusiveness, I believe the organizers of this AI Kumbh Mela deserve a huge amount of credit--and our benefit of doubt on the attendant inconveniences.
(No, I have no connection with the organizers. I own my opinions.)
https://t.co/dW1mBPdS2f
Machines that learn from experience were explored by Alan Turing almost eighty years ago, which makes it particularly gratifying and humbling to receive an award in his name for reviving this essential but still nascent idea.
Meet the recipients of the 2024 ACM A.M. Turing Award, Andrew G. Barto and Richard S. Sutton! They are recognized for developing the conceptual and algorithmic foundations of reinforcement learning. Please join us in congratulating the two recipients! https://t.co/GrDfgzW1fL
4/ Come see our poster at #NeurIPS2024 or reach out for a chat! Let's explore how adaptive exploration can redefine multi-objective learning.
👉 Paper link: https://t.co/LyS6w9x8SS
#ReinforcementLearning
1/ Super excited to share our work "GVFExplorer: Adaptive Exploration for Data-Efficient GVF Evaluations" at #NeurIPS2024! 🚀 Joint work with @JosiahHanna & my advisor Doina Precup.
📅 Dec 12, 4:30 PM
📍 Poster #6606
📄 Paper: https://t.co/LyS6w9x8SS
@Mila_Quebec@rllabmcgill
3/ 💡 Why it matters:
Efficient policy evaluation is crucial for real-world scenarios like A/B testing in recommender systems (CTR, conversion rates, etc.).
Our variance-driven adaptive exploration improves learning speed & accuracy, bridging key gaps!
This is a sneak peak before I present this work at #NeurIPS2024. Come by for a chat on policy evaluation and sample efficiency in GVFs at #EWRL.
Thanks to my amazing collaborators @JosiahHanna, Doina Precup.
Excited to attend #EWRL this week! I'll be presenting my poster on Tuesday (Paper 78), showcasing adaptive exploration in General Value Functions to boost sample efficiency with multiple GVF objectives. Come by to chat about #ReinforcementLearning!
https://t.co/fBvBD1slyR
Excited to attend #EWRL this week! I'll be presenting my poster on Tuesday (Paper 78), showcasing adaptive exploration in General Value Functions to boost sample efficiency with multiple GVF objectives. Come by to chat about #ReinforcementLearning!
https://t.co/fBvBD1slyR
Personal news: I am excited to announce that I am starting an internship at @MSFTResearch Amsterdam, diving into the fascinating world of Molecular Drug Discovery with wonderful @ElisevanderPol! I am looking forward to contributing to the AIForScience field :).
📢lots of people asked for the video of this talk, and happy it (and most* of the other @RL_Conference keynotes) are finally up! 🎉
https://t.co/rd0kwAB9NC
* sadly, doina's keynote is not available as there was a technical issue when recording it 😰
This lady exposed the dark truth about recycling.
She dropped an AirTag in her recycling bin to find out where it really went.
Her experiment uncovered a sinister 250-ton secret...
Here's the full story: 🧵