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suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
135 posts 7,296 followers 733 following
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Researchers who have had grants terminated--tell your story! The #DefendResearch team is collecting testimonials about this impact of #censorship on research that we will use as part of a toolkit for contacting elected officials. #NSF, #NEH, #NIH www.defendresearch.org/testimonials

submitted 6 days ago • 1 comment

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submitted 28 days ago • 0 comments

This might be the most useful thing I have come across in social media - a personalized feed of academic papers filtered by your follower network! Highly recommend. #academicsky

submitted 35 days ago • 1 comment

So nice to be surrounded by >12000 physicists at @apsphysics.bsky.social summit working hard to understand the nature of our universe and build better tech like solar cells and novel quantum materials. Important to remind the public that our living standards depend on this research.

submitted 39 days ago • 2 comments

1. For the past thirty years I've had the best job in the world. 
I've had the opportunity to follow my curiosity; explore the workings of nature and society; mentor students and junior colleagues in the same process; and teach generations of students about it all.

submitted 40 days ago • 39 comments

Love this post @michaelnielsen.bsky.social! I may be biased by I like the 2008 version 4 years before where the song is in my native Bengali by the Nobel Prize winner Rabindranath Tagore: www.youtube.com/watch?v=zlfK... A translation of the song can be found here: www.youtube.com/watch?v=Iiwp...

submitted 41 days ago • 3 comments

This is a super clear and helpful article explaining why the 15% indirect cost rate is unfair, hurts science, and does NOT increase $ for research: www.science.org/doi/10.1126/...

submitted 45 days ago • 0 comments

This letter appeared in the Bloomsburg PA Press Enterprise this morning. I am assured the writer is who he purports to be, an Air Force veteran.

submitted 48 days ago • 1103 comments

At the DC #standupforscience today. The question was “Why are you here?” She came up with this on her own! (I helped her with the spelling) So proud of her! #standupforscience2025 @standupforscience.bsky.social

submitted 51 days ago • 47 comments

My talk on “Neuroscience and AI: a symbiosis” @SimonsInstitute I start with a whirlwind history of metaphors for intelligence, spanning Hippocratic hydraulics, Hobbesian clocks, Cartesian dualism to Turing, telegraphs, Hopfield, and deep learning. simons.berkeley.edu/talks/surya-...

submitted 52 days ago • 0 comments

I just wrote a book about how the type of work @markhisted.org is doing is key to breaking through the bottlenecks holding back new treatments for brain and mental disorders (from Alzheimers to depression). Seeing his work in danger makes me ill, and angry. We must @standupforscience.bsky.social.

submitted 53 days ago • 2 comments

Please share widely. Firing of excellent scientists by political appointees with zero oversight is outrageous. This requested pushback from congress is essential to maintain scientific independence - a hallmark of any functioning democracy.

submitted 53 days ago • 0 comments

Join us! Science Homecoming helps scientists reconnect with communities by writing about the importance of science funding in their hometown newspapers. We’ve mapped every small newspaper in the U.S. and provide resources to get you started. Help science get back home 🧪🔬🧬 🏠 sciencehomecoming.com

submitted 69 days ago • 46 comments

Love this quote from Sir Michael Atiyah: "Algebra is the offer made by the devil to a mathematician. The devil says, 'I will give you this powerful machine...all you need to do is give up your soul: give up geometry...' when you do algebra...you stop thinking about meaning, about geometry

submitted 61 days ago • 1 comment

It only takes a minute to write to your reps to support the NIH snd medical research. Please consider it. I just wrote. www.votervoice.net/mobile/AACR/...

submitted 67 days ago • 0 comments

My @TEDAI2024 talk is out! www.ted.com/talks/surya_... I discuss our work, spanning AI, physics, math & neuroscience, to develop a deeper scientific understanding of intelligence, both to understand biological intelligence and make better artificial intelligence. I focus on 5 gaps:

submitted 80 days ago • 2 comments

Don’t work on: Concentration inequalities (math) Interneuron diversity (neuro) Barrier functions (optimization) Thermodynamic equalities (physics) Community detection (stats) Biased estimators (stats) Marginalization in graphical models (math) Set inclusion (math) Traumatic brain injury (neuro)

submitted 81 days ago • 1 comment

@suryaganguli.bsky.social gives great talk at LLM workshop at Berkley -LLM<->brain is still a new topic, less progress so far than LLM<->vision -lets train LLM foundation models of specific brain systems and then reverse engineer them -emerging paradigm: read-write experiments in brains+machines

submitted 84 days ago • 0 comments

Am organizing a workshop this week @SimonsInstitute on Large language models, cognitive science, linguistics, neuroscience and theory. Many excellent speakers. Can register here for livestream! simons.berkeley.edu/workshops/ll...

submitted 84 days ago • 0 comments

This is poignant. The person in this cartoon could very well be me (hopefully!)

submitted 90 days ago • 1 comment

My #NeurIPS204 workshop keynote: "Analytic theory of creativity of convolutional diffusion models" now available: neurips.cc/virtual/2024... It reports on work with @MasonKamb in this paper: arxiv.org/abs/2412.20292

submitted 94 days ago • 1 comment

📢PSA: #NeurIPS2024 recordings are now publicly available! The workshops always have tons of interesting things on at once, so the FOMO is real😵‍💫 Luckily it's all recorded, so I've been catching up on what I missed. Thread below with some personal highlights🧵

submitted 96 days ago • 1 comment

Just read this, neat paper! I really enjoyed Figure 3 illustrating the basic idea: Suppose you train a diffusion model where the denoiser is restricted to be "local" (each pixel i only depends on its 3x3 neighborhood N(i)). The optimal local denoiser for pixel i is E[ x_0[i] | x_t[ N(i) ] ]...cont

submitted 117 days ago • 1 comment