Rishabh Sharma @ssh_rishabh
👨🏻💻Simons Postdoc at NYU New York, NY Joined March 2019-
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Einstein on (not) using NL for invention: "The words or the language, as they are written or spoken, do not seem to play any role in my mechanism of thought"
My new article "Toward a science of intelligence: unifying physics, neuroscience and AI" amacad.org/publication/da… published in the Daedelus journal of @americanacad Its part of a special issue on AI+Science with many amazing contributors lead by James Manyika amacad.org/daedalus/ai-sc…
The bitter lesson in 26 words: Don’t be distracted by human knowledge, as AI has been historically. Instead focus on methods for creating knowledge that scale with computation, like search and learning.
@RPriyaSandilya Great work! Congratulations 🥂
Delighted that my work has been published in Physical Review Materials as an Editor’s Choice.
New #EdSugg: researchers from @TIFRScience connect directional memory to the nature of yielding. By simulating 2D polydisperse glasses, they show that the type of memory is controlled by deformation history, strain rate, and parent temperature. doi.org/10.1103/stkn-v…
Sharing “Neural Thickets”. We find: In large models, the neighborhood around pretrained weights can become dense with task-improving solutions. In this regime, post-training can be easy; even random guessing works Paper: arxiv.org/abs/2603.12228 Web: thickets.mit.edu 1/
(3/n) Awards | Announced during the Founder's Day programme @TIFRScience: Congratulations to Simran Rawal (graduate student, @tamal_das's lab) and Rishabh Sharma (graduate student, Smarajit Karmakar's lab) on receiving the Ramakrishna Cowsik Medals, 2025.
Gyromorphs are a new class of functional correlated disordered materials with high rotational order that exhibit deeper isotropic bandgaps go.aps.org/4olK8H2
Stress responses to switching strain direction in passive versus active ultrastable glasses display a transient memory effect in the latter, allowing the system to heal and elucidating a counterintuitive way structural memory forms in amorphous solids. 🔗 go.aps.org/42x68Wx
@fchollet Not all problems can be trivially broken down into subproblems though.
Giorgio Parisi opening StatPhys29: AI resembles the heat engine in that the technology arrived before the theory.
Grateful to see this recognition and more to follow soon!
Our recent work published in Nature Physics just got some science media coverage. 📄 Main article: nature.com/articles/s4156… 🧵👇
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