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🚀 @SBERLOGASCI webinar on mathematics and data science:
👨‍🔬 Sergei Gukov "What makes math problems hard for reinforcement learning: a case study"
⌚️ 19 September, Thursday 19.00 Moscow time

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Can AI solve hard and interesting research-level math problems? While there is no mathematical definition of what makes a mathematical problem hard or interesting, we can provisionally define such problems as those that are well known to an average professional mathematician and have remained open for N years. The larger the value of N, the harder the problem. Using examples from combinatorial group theory and low-dimensional topology, in this talk I will explain that solving such hard long-standing math problems holds enormous potential for AI algorithm development, providing a natural path toward Artificial General Intelligence (AGI).

The talk is based on a recent paper: https://arxiv.org/abs/2408.15332

О докладчике: Сергей Гуков - профессор КалТех, выпускник МФТИ и Принстона, один из наиболее известных специалистов по теории струн и математической физике, в последние годы занимающийся применением методов Reinforcement Leaning к задачам математики и физики.

Zoom link will be in @sberlogabig just before start. Video records: https://www.youtube.com/c/SciBerloga and in telegram: https://www.group-telegram.com/sberlogasci/19688 - subscribe !

Анонс на твиттер:
https://x.com/sberloga/status/1835702457260765359
Ваши лайки и репосты - очень welcome !

www.group-telegram.com/us/datastorieslanguages.com/291

899 viewsSep 17, 2024 at 06:32

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Create: 2024-09-17
Last Update: 2025-06-30 02:16:32

🚀 @SBERLOGASCI webinar on mathematics and data science:
👨‍🔬 Sergei Gukov "What makes math problems hard for reinforcement learning: a case study"
⌚️ 19 September, Thursday 19.00 Moscow time

Add to Google Calendar

Can AI solve hard and interesting research-level math problems? While there is no mathematical definition of what makes a mathematical problem hard or interesting, we can provisionally define such problems as those that are well known to an average professional mathematician and have remained open for N years. The larger the value of N, the harder the problem. Using examples from combinatorial group theory and low-dimensional topology, in this talk I will explain that solving such hard long-standing math problems holds enormous potential for AI algorithm development, providing a natural path toward Artificial General Intelligence (AGI).

The talk is based on a recent paper: https://arxiv.org/abs/2408.15332

О докладчике: Сергей Гуков - профессор КалТех, выпускник МФТИ и Принстона, один из наиболее известных специалистов по теории струн и математической физике, в последние годы занимающийся применением методов Reinforcement Leaning к задачам математики и физики.

Zoom link will be in @sberlogabig just before start. Video records: https://www.youtube.com/c/SciBerloga and in telegram: https://www.group-telegram.com/sberlogasci/19688 - subscribe !

Анонс на твиттер:
https://x.com/sberloga/status/1835702457260765359
Ваши лайки и репосты - очень welcome !

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Date: 2025-06-30|

Some privacy experts say Telegram is not secure enough Markets continued to grapple with the economic and corporate earnings implications relating to the Russia-Ukraine conflict. “We have a ton of uncertainty right now,” said Stephanie Link, chief investment strategist and portfolio manager at Hightower Advisors. “We’re dealing with a war, we’re dealing with inflation. We don’t know what it means to earnings.” "There is a significant risk of insider threat or hacking of Telegram systems that could expose all of these chats to the Russian government," said Eva Galperin with the Electronic Frontier Foundation, which has called for Telegram to improve its privacy practices. Friday’s performance was part of a larger shift. For the week, the Dow, S&P 500 and Nasdaq fell 2%, 2.9%, and 3.5%, respectively. The account, "War on Fakes," was created on February 24, the same day Russian President Vladimir Putin announced a "special military operation" and troops began invading Ukraine. The page is rife with disinformation, according to The Atlantic Council's Digital Forensic Research Lab, which studies digital extremism and published a report examining the channel.
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