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Regular version of the site

Tag «neural networks»

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Illustration for news: Beauty in Details: HSE University and AIRI Scientists Develop a Method for High-Quality Image Editing

Beauty in Details: HSE University and AIRI Scientists Develop a Method for High-Quality Image Editing

Researchers from theHSE AI Research Centre, AIRI, and the University of Bremen have developed a new image editing method based on deep learning—StyleFeatureEditor. This tool allows for precise reproduction of even the smallest details in an image while preserving them during the editing process. With its help, users can easily change hair colour or facial expressions without sacrificing image quality. The results of this three-party collaboration were published at the highly-cited computer vision conference CVPR 2024.

Illustration for news: HSE University at VK Fest: VR Games and Emotion Recognition

HSE University at VK Fest: VR Games and Emotion Recognition

On July 13-14, 2024, the annual large-scale VKontakte festival took place at Moscow’s Luzhniki Stadium. HSE University, as usual, participated in the event. The university's tent featured a variety of activities, including emotion recognition challenge, quizzes about artificial intelligence, IT career testing, a smile detector, VR gaming, and a blue tractor equipped with a smart sprinkler system.

Illustration for news: Russian Researchers Improve Neural Networks' Spatial Navigation Performance

Russian Researchers Improve Neural Networks' Spatial Navigation Performance

Researchers at HSE University, MISiS National University of Science and Technology, and the Artificial Intelligence Research Institute (AIRI) have developed an enhanced approach to reinforcement learning for neural networks tasked with navigation in three-dimensional environments. By using the attention mechanism, they managed to improve the performance of a graph neural network by 15%. The study results have been published in IEEE Access.

Illustration for news: Neural Network Developed at HSE Campus in Perm Will Determine Root Cause of Stroke in Patients

Neural Network Developed at HSE Campus in Perm Will Determine Root Cause of Stroke in Patients

Specialists at HSE Campus in Perm and clinicians at Perm City Clinical Hospital No. 4, have been collaborating to develop a neural network capable of determining the root cause of a stroke. This marks the world's first attempt to create such a system, the developers note.

Illustration for news: HSE Researchers Teach Neural Networks to Better Detect Humour

HSE Researchers Teach Neural Networks to Better Detect Humour

A group of scientists from the HSE Faculty of Computer Science has conducted a study on the ability of neural networks to detect humour. It turns out that for more reliable recognition, it’s necessary to change the approach to creating datasets on which neural networks are trained. The scientists presented these results at one of the world's most important conferences on natural language processing — EMNLP 2023. 

Illustration for news: Neural Networks of Power: AI Unravels Knots and Tangles in Relationships between Humans, Elves and Hobbits

Neural Networks of Power: AI Unravels Knots and Tangles in Relationships between Humans, Elves and Hobbits

One of the most popular writers of the last century, John Ronald Reuel Tolkien, was born on January 3rd. Researchers from HSE University, AIRI and MISSIS have used machine learning to explore the social connections between the characters of his Middle-earth universe. The algorithm managed to create an accurate picture of the social structures and dynamics of the characters' relationships, providing a unique map of interactions in the epic world. The results of the work were published in IEEE Xplore.

Illustration for news: Specialists from the HSE Institute of Education Confirm GigaChat’s Erudition in Social Sciences

Specialists from the HSE Institute of Education Confirm GigaChat’s Erudition in Social Sciences

A multimodal neural network model by Sber, under the supervision of HSE University’s expert commission, has successfully passed the Unified State Exam in social studies. GigaChat completed all exam tasks and scored 67 points.

Illustration for news: Child Ex Machina: What Artificial Intelligence Can Learn from Toddlers

Child Ex Machina: What Artificial Intelligence Can Learn from Toddlers

Top development teams around the world are trying to create a neural network similar to a curious but bored three-year-old kid. IQ.HSE shares why this approach is necessary and how such methods can bring us closer to creating strong artificial intelligence.

Illustration for news: HSE Researchers Join Forces with Yandex Cloud to Develop a Neural Network for Predicting El Niño

HSE Researchers Join Forces with Yandex Cloud to Develop a Neural Network for Predicting El Niño

A team of researchers from HSE University, jointly with the Yandex School of Data Analysis and Yandex Cloud, have developed a neural network for anticipating El Niño climate anomalies. The new algorithm enables more precise predictions of changes in the average surface temperature of oceanic waters that can trigger natural disasters in specific regions of the world. At present, the model is capable of predicting El Niño events one and a half years in advance, and the researchers are working towards extending the forecast period to two years.

Illustration for news: ‘Neural Networks Are Something that Move the World Forward’

‘Neural Networks Are Something that Move the World Forward’

On September 4, the HSE University building on Pokrovsky Bulvar hosted ARTificial Fest, an event devoted to neural network art. The festival was organised by the HSE University Faculty of Creative Industries, the HSE Career centre, and the Chisty List (‘Blank Page’) student organisation. The event was open not only to students and staff of HSE University, but also to anyone interested in the blending of machine algorithms and art.

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