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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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Individual messages can be fully encrypted. But the user has to turn on that function. It's not automatic, as it is on Signal and WhatsApp. The Securities and Exchange Board of India (Sebi) had carried out a similar exercise in 2017 in a matter related to circulation of messages through WhatsApp. He said that since his platform does not have the capacity to check all channels, it may restrict some in Russia and Ukraine "for the duration of the conflict," but then reversed course hours later after many users complained that Telegram was an important source of information. The War on Fakes channel has repeatedly attempted to push conspiracies that footage from Ukraine is somehow being falsified. One post on the channel from February 24 claimed without evidence that a widely viewed photo of a Ukrainian woman injured in an airstrike in the city of Chuhuiv was doctored and that the woman was seen in a different photo days later without injuries. The post, which has over 600,000 views, also baselessly claimed that the woman's blood was actually makeup or grape juice. Stocks dropped on Friday afternoon, as gains made earlier in the day on hopes for diplomatic progress between Russia and Ukraine turned to losses. Technology stocks were hit particularly hard by higher bond yields.
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