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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 Фонд «Интеллект»








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He floated the idea of restricting the use of Telegram in Ukraine and Russia, a suggestion that was met with fierce opposition from users. Shortly after, Durov backed off the idea. As a result, the pandemic saw many newcomers to Telegram, including prominent anti-vaccine activists who used the app's hands-off approach to share false information on shots, a study from the Institute for Strategic Dialogue shows. "We're seeing really dramatic moves, and it's all really tied to Ukraine right now, and in a secondary way, in terms of interest rates," Octavio Marenzi, CEO of Opimas, told Yahoo Finance Live on Thursday. "This war in Ukraine is going to give the Fed the ammunition, the cover that it needs, to not raise interest rates too quickly. And I think Jay Powell is a very tepid sort of inflation fighter and he's not going to do as much as he needs to do to get that under control. And this seems like an excuse to kick the can further down the road still and not do too much too soon." "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. Messages are not fully encrypted by default. That means the company could, in theory, access the content of the messages, or be forced to hand over the data at the request of a government.
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