This is not really surprising tbh!
Sarath Chandar retweeted
@iitmadras has once again raised the bar for Indian higher education, achieving historic milestones in the NIRF India Rankings 2025 announced today by the Minister of Education, Shri Dhrmendra Pradhan ji at the Ministry of Education, Government of India. 🏆 Ranks Secured 🔹 #1…
Sarath Chandar retweeted
This week I joined @GoogleDeepMind as a research engineer on the Reinforcement Learning Engineering team. Continuing my focus on world models, I begin with Genie. A lot to learn, a lot to contribute!
Sarath Chandar retweeted
Mitesh Khapra is one of the pioneers in applying Deep Learning for Indian languages (which is much more complex than developing English language models!) Congratulations @MiteshKhapra for this well-deserving recognition!
Mitesh Khapra is one of the pioneers in applying Deep Learning for Indian languages (which is much more complex than developing English language models!) Congratulations @MiteshKhapra for this well-deserving recognition!
This is what majority of machine learning researchers believe btw! It is just that most of them are not as vocal as the AGI-in-one-year crowd!
This is what majority of machine learning researchers believe btw! It is just that most of them are not as vocal as the AGI-in-one-year crowd!
Sarath Chandar retweeted
I am not sure how such a pause helps. My thoughts as "Not an AI Professor": 1. AI safety is not a theoretical discipline. We will only make the models safe and secure by building them in the first place, observing the pitfalls, and iterating over fixing them. 2. We are not…
I am not sure how such a pause helps. My thoughts as "Not an AI Professor": 1. AI safety is not a theoretical discipline. We will only make the models safe and secure by building them in the first place, observing the pitfalls, and iterating over fixing them. 2. We are not…
Sarath Chandar retweeted
With AI becoming ubiquitous, it is imperative that researchers and academics use words constructively and with caution without the need for fear mongering. Teaching the shifting landscape of AI research with better technical focus is the need of the hour. 👌 @apsarathchandar !
With AI becoming ubiquitous, it is imperative that researchers and academics use words constructively and with caution without the need for fear mongering. Teaching the shifting landscape of AI research with better technical focus is the need of the hour. 👌 @apsarathchandar !
I'm an AI professor, and I just told my class today that superintelligence or AGI will not arrive anytime soon! We still have a lot of work to do to understand the principles of intelligence. Let us do more technical work, not pause AI research!
I'm an AI professor, and I just told my class today that superintelligence or AGI will not arrive anytime soon! We still have a lot of work to do to understand the principles of intelligence. Let us do more technical work, not pause AI research!
I am teaching intro to ML this Fall (starting today!), and watching @3blue1brown linear algebra videos several times is a mandatory prerequisite for the students!
Sarath Chandar retweeted
FlockMTL v0.4.0 is here: an improved API, image support with audio coming up next, and major bug fixes! Kudos to @anasdorbani on this release!
FlockMTL v0.4.0 is here: an improved API, image support with audio coming up next, and major bug fixes! Kudos to @anasdorbani on this release!
Sarath Chandar retweeted
Check out our latest work in developing open-source foundation models for de novo drug design. Stay tuned for the accompanying blog post and starter notebook. @iitmbt @WSAI_IITM @IBSE_IITM @iitmadras
Check out our latest work in developing open-source foundation models for de novo drug design. Stay tuned for the accompanying blog post and starter notebook. @iitmbt @WSAI_IITM @IBSE_IITM @iitmadras
Sarath Chandar retweeted
NovoMolGen rigorously studies what matters in Mol LLM pretraining and reports surprising results. We’re also sharing a curated dataset, full checkpoint suite, and simple, documented code.
NovoMolGen rigorously studies what matters in Mol LLM pretraining and reports surprising results. We’re also sharing a curated dataset, full checkpoint suite, and simple, documented code. https://t.co/mU9WDcI3vk
Sarath Chandar retweeted
Oh. next token predictions loss does not predict downstream performance when transformers are pretrained on molecule data? They claim molecule syntax is very simple, e.g. carbon can connect to 4 neighbouring atoms and the syntax is learned very quickly but is not enough.
Oh. next token predictions loss does not predict downstream performance when transformers are pretrained on molecule data? They claim molecule syntax is very simple, e.g. carbon can connect to 4 neighbouring atoms and the syntax is learned very quickly but is not enough.
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Mitesh Khapra @MiteshKhapra
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Arthur Gretton @ArthurGretton
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Yi Wan @YiWan89352121
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Willie Neiswanger @willieneis
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Elvis Dohmatob @dohmatobelvis
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Alexia Jolicoeur-Mart... @jm_alexia
12K Followers 2K Following Senior AI Researcher at the Samsung SAIT AI Lab 🐱💻 I build generative AI for images, videos, text, tabular data, weights, molecules, and video games.
Aaron Roth @Aaroth
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Saman Habibi Esfahani @Saman_Habibi_E
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Michael Pyrcz🌻 @GeostatsGuy
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Stephanie Chan @scychan_brains
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Peter Sarlin @petersarlin
2K Followers 571 Following Co-founder & CEO @AMDSiloAI | Professor @AaltoUniversity | #AIforPeople
Elad Hazan @HazanPrinceton
14K Followers 217 Following machine learning and optimization @PrincetonCS & Google DeepMind Princeton, dad^3
Jack Morris @jxmnop
45K Followers 974 Following research @cornell @meta // language models, information theory, science of AI
William Falcon ⚡️ @_willfalcon
15K Followers 476 Following CEO @LightningAI. Creator, PyTorch Lightning⚡, Lightning Studio. Former AI PhD student w @kchonyc @ylecun @metaAI
Samuel Stanton @samuel_stanton_
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