Warning: mkdir(): No space left on device in /var/www/group-telegram/post.php on line 37

Warning: file_put_contents(aCache/aDaily/post/math_dump_of_sepa/--): Failed to open stream: No such file or directory in /var/www/group-telegram/post.php on line 50
Математическая свалка Сепы | Telegram Webview: math_dump_of_sepa/251 -
Telegram Group & Telegram Channel
🚀 @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 !



group-telegram.com/math_dump_of_sepa/251
Create:
Last Update:

🚀 @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 !

BY Математическая свалка Сепы




Share with your friend now:
group-telegram.com/math_dump_of_sepa/251

View MORE
Open in Telegram


Telegram | DID YOU KNOW?

Date: |

Official government accounts have also spread fake fact checks. An official Twitter account for the Russia diplomatic mission in Geneva shared a fake debunking video claiming without evidence that "Western and Ukrainian media are creating thousands of fake news on Russia every day." The video, which has amassed almost 30,000 views, offered a "how-to" spot misinformation. Telegram boasts 500 million users, who share information individually and in groups in relative security. But Telegram's use as a one-way broadcast channel — which followers can join but not reply to — means content from inauthentic accounts can easily reach large, captive and eager audiences. In 2014, Pavel Durov fled the country after allies of the Kremlin took control of the social networking site most know just as VK. Russia's intelligence agency had asked Durov to turn over the data of anti-Kremlin protesters. Durov refused to do so. At its heart, Telegram is little more than a messaging app like WhatsApp or Signal. But it also offers open channels that enable a single user, or a group of users, to communicate with large numbers in a method similar to a Twitter account. This has proven to be both a blessing and a curse for Telegram and its users, since these channels can be used for both good and ill. Right now, as Wired reports, the app is a key way for Ukrainians to receive updates from the government during the invasion. In February 2014, the Ukrainian people ousted pro-Russian president Viktor Yanukovych, prompting Russia to invade and annex the Crimean peninsula. By the start of April, Pavel Durov had given his notice, with TechCrunch saying at the time that the CEO had resisted pressure to suppress pages criticizing the Russian government.
from br


Telegram Математическая свалка Сепы
FROM American