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Нейронные сети и наука МГУ имени М. В. Ломоносова | Telegram Webview: msu_ai_channel/803 -
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🌟🌟🌟 Еще раз поздравляем наших выпускников – победителей Конкурса публикаций 6-го потока обучения!

Со статьями победителей вы можете ознакомиться на нашем сайте

Напомним, что победителями стали выпускники 6-го потока обучения:

🔥 Митьковский Дмитрий Александрович.

Статья "Self-assembly of amphiphilic homopolymers grafted onto spherical nanoparticles: complete embedded minimal surfaces and a machine learning algorithm for their recognition", опубликована в научном журнале Soft Matter (Q1).

🔥 Григорян Илья Валентинович.

Статья "IPECnet: ML model for predicting the area of water solubility of interpolyelectrolyte complexes", опубликована в научном журнале Physical Chemistry Chemical Physics (Q2).

🔥 Бегларян Бабкен Гагикович.

Сатья "Towards Accurate PAH IR Spectra Prediction: Handling Charge Effects with Classical and Deep Learning Models" опубликована в научном журнале Journal of Chemical Information and Modeling (Q1).

🔥 Руденко Юлия Константиновна.

Статья "Complete characterization of axisymmetric turbulent jet using background oriented schlieren and physics-informed neural network", опубликована в научном журнале Heat Transfer Research (Q2).

🔥 Чистяков Всеволод Всеволодович.

Статья "Application of Neural Networks for Path Integrals Computation in Relativistic Quantum Mechanics", опубликована в научном журнале Springer (Q4).

Скоро мы поделимся с вами историями наших победителей, в которых расскажем о процессе подготовки статьи, возникавших сложностях и эмоциях, полученных после публикации!

#исторИИ
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🌟🌟🌟 Еще раз поздравляем наших выпускников – победителей Конкурса публикаций 6-го потока обучения!

Со статьями победителей вы можете ознакомиться на нашем сайте

Напомним, что победителями стали выпускники 6-го потока обучения:

🔥 Митьковский Дмитрий Александрович.

Статья "Self-assembly of amphiphilic homopolymers grafted onto spherical nanoparticles: complete embedded minimal surfaces and a machine learning algorithm for their recognition", опубликована в научном журнале Soft Matter (Q1).

🔥 Григорян Илья Валентинович.

Статья "IPECnet: ML model for predicting the area of water solubility of interpolyelectrolyte complexes", опубликована в научном журнале Physical Chemistry Chemical Physics (Q2).

🔥 Бегларян Бабкен Гагикович.

Сатья "Towards Accurate PAH IR Spectra Prediction: Handling Charge Effects with Classical and Deep Learning Models" опубликована в научном журнале Journal of Chemical Information and Modeling (Q1).

🔥 Руденко Юлия Константиновна.

Статья "Complete characterization of axisymmetric turbulent jet using background oriented schlieren and physics-informed neural network", опубликована в научном журнале Heat Transfer Research (Q2).

🔥 Чистяков Всеволод Всеволодович.

Статья "Application of Neural Networks for Path Integrals Computation in Relativistic Quantum Mechanics", опубликована в научном журнале Springer (Q4).

Скоро мы поделимся с вами историями наших победителей, в которых расскажем о процессе подготовки статьи, возникавших сложностях и эмоциях, полученных после публикации!

#исторИИ

BY Нейронные сети и наука МГУ имени М. В. Ломоносова








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Investors took profits on Friday while they could ahead of the weekend, explained Tom Essaye, founder of Sevens Report Research. Saturday and Sunday could easily bring unfortunate news on the war front—and traders would rather be able to sell any recent winnings at Friday’s earlier prices than wait for a potentially lower price at Monday’s open. If you initiate a Secret Chat, however, then these communications are end-to-end encrypted and are tied to the device you are using. That means it’s less convenient to access them across multiple platforms, but you are at far less risk of snooping. Back in the day, Secret Chats received some praise from the EFF, but the fact that its standard system isn’t as secure earned it some criticism. If you’re looking for something that is considered more reliable by privacy advocates, then Signal is the EFF’s preferred platform, although that too is not without some caveats. "Someone posing as a Ukrainian citizen just joins the chat and starts spreading misinformation, or gathers data, like the location of shelters," Tsekhanovska said, noting how false messages have urged Ukrainians to turn off their phones at a specific time of night, citing cybersafety. Now safely in France with his spouse and three of his children, Kliuchnikov scrolls through Telegram to learn about the devastation happening in his home country. In the United States, Telegram's lower public profile has helped it mostly avoid high level scrutiny from Congress, but it has not gone unnoticed.
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