‘We Need to Learn to Communicate with Artificial Intelligence Services’
An online course 'What is Generative AI?’ has been launched on the Open Education platform, which will help students learn more about how to properly communicate with neural networks so that they can perform tasks better. Daria Kasyanenko, an expert at the Continuing Education Centre and senior lecturer at the Big Data and Information Retrieval School at the Faculty of Computer Science, spoke about how generative AI works and how to create content with its help.
HSE University to Reward Students Who Write Their Thesis Using AI
HSE University has launched a competition for solutions using artificial intelligence technology in theses work. The goal of the competition is to evaluate how students use tools based on generative models in their 2024 graduation theses (GT).
Production of the Future: AI Research Centre Presents Its Developments in Manual Operations Control Systems
Researchers from the HSE AI Research Centre have built a system for the automated control of manual operations, which finds application in industrial production. The system facilitates the process of monitoring objects and actions, as well as controlling the quality of their execution.
HSE and Yandex to Expand Collaboration in Training AI Specialists
Over the next ten years, the partnership between Yandex and the HSE Faculty of Computer Science (FCS) will broaden across three key areas: launching new educational programmes, advancing AI research, and exploring the application of generative neural networks in the educational process. Established by HSE University and Yandex a decade ago, the Faculty of Computer Science has since emerged as a frontrunner in training developers and experts in AI and machine learning, with a total of 3,385 graduates from the faculty over this period.
HSE University Receives Highest Grant under Priority 2030 Programme
HSE University has proved its leading position in the first group of the ‘Research Leadership’ field under the Priority 2030 programme. The university has also received the highest grant for teaching digital competencies to students, demonstrating its educational leadership in the fields of digital technologies and AI.
‘Every Article on NeurIPS Is Considered a Significant Result’
Staff members of the HSE Faculty of Computer Science will present 12 of their works at the 37th Conference and Workshop on Neural Information Processing Systems (NeurIPS), one of the most significant events in the field of artificial intelligence and machine learning. This year it will be held on December 10–16 in New Orleans (USA).
Fall into ML 2023: HSE University’s Faculty of Computer Science Organises Conference on Machine Learning
On October 26–28, HSE University’s Institute of Artificial Intelligence and Digital Sciences at the Faculty of Computer Science will hold a conference titled Fall into ML 2023 withsupport from the HSE University AI Research Centre . The event is dedicated to promising directions of fundamental AI development.
‘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.
Faculty of Computer Science and AI Centre Welcome Applications to Binary Super Resolution Challenge
From July 18 to October 15, 2023, the HSE University Faculty of Computer Science and AI Centre invite those interested to take part in the online Binary Super Resolution Challenge (BSRC-2023). The top 50 teams will receive prizes, and the top three will receive cash prizes.
Russian Researchers Develop Software to Predict the Location of Elements of the Human Genome
Researchers at the HSE Artificial Intelligence Centre have created software for predicting the location of elements of the human genome. The scientists used deep learning methods based on complex data on various human molecular components. The research followed the objectives of the ‘Artificial Intelligence’ federal project of the ‘Digital Economy’ national project.
Deadline for application - March 17, 2024