Michele Ginolfi
@micginolfi
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Asst. prof @UNI_FIRENZE - Astrophysics & AI. I think too much about time, entropy, and human/machine learning.
Munich, Germany
Joined April 2010
RT @karpathy: "Move 37" is the word-of-day - it's when an AI, trained via the trial-and-error process of reinforcement learning, discovers…
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RT @demishassabis: It’s been an amazing last couple of weeks, hope you enjoyed our end of year extravaganza as much as we did! Just some o…
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RT @fchollet: For those who didn't get it -- AlphaGo was a MCTS search process that made thousands of calls to two separate convnets in ord…
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Totally agree! Human-written text naturally limits us to a human-driven condensed representation of the real world. Pre-training on videos is the way to go: 'next-frame prediction' :)
Brilliant talk by @ilyasut, but he's wrong on one point. We are NOT running out of data. We are running out human-written text. We have more videos than we know what to do with. We just haven't solved pre-training in vision. Just go out and sense the world. Data is easy.
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RT @BrantonDeMoss: I’m pleased to announce our work which studies complexity phase transitions in neural networks! We track the Kolmogorov…
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@Thomas_vnn Hello! Sorry, I missed your message. Thanks. I don't think current methods will be entirely replaced. DL will play a role for - quick estimates for large surveys - low signal-to-noise specta - instrument-embedded pipelines: get quick feedback during observations to tailor them
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RT @Kasparov63: India is a nation with an unlimited pool of human talent, combined with the freedom to explore and develop it. The future i…
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RT @sundarpichai: Introducing Willow, our new state-of-the-art quantum computing chip with a breakthrough that can reduce errors exponentia…
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"Modelling Brain Function" by Prof Amit (from 1989 🤯) is such a great visionary book, filled with pioneering ideas drawn from physics that became the backbone of modern neural nets theory. If he were alive today, he’d probably have shared this year’s Nobel with Hinton & Hopfield
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RT @universe_tbd: Very nice work on chemistry and materials science foundation models from Nawaf Alampara and team (including our own @pktr…
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RT @universe_tbd: Join us tomorrow (Nov 28th) at 15:00 UTC for our monthly talk! @micginolfi (U of Florence) will be talking about how we…
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RT @CMHarrisonAstro: I am excited to announce a job opportunity! We are looking for somebody to join our team to help develop a "sonificati…
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Date un'occhiata se siete interessati ad una introduzione di visione artificiale, con alcuni esempi di ricerca in astro, fisica medica e beni culturali nella seconda parte del talk :)
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