Tag "artificial intelligence"

Seungmin Jin, from South Korea, is researching the field of Explainable AI and planning to defend his PhD on ‘A Visual Analytics System for Explaining and Improving Attention-Based Traffic Forecasting Models’ at HSE University this year. In September, he passed the pre-defence procedure at the HSE Faculty of Computer Science School of Data Analysis and Artificial Intelligence. In his interview for the HSE News Service, he talks about his academic path and plans for the future.

Machine Learning (ML) is a field of AI that examines methods and algorithms that enable computers to learn based on experience and data and without explicit programming. With its help, AI can analyse data, recall information, build forecasts, and give recommendations. Machine learning algorithms have applications in medicine, stock trading, robotics, drone control and other fields.

'Intelligence is ten million rules,' said Douglas Lenat, one of the creators of artificial intelligence (AI). For nearly four decades, he worked to instil 'common sense' in computers, painstakingly describing hundreds of thousands of concepts and millions of relationships between them.

Today, neural networks can easily identify emotions in texts, photos and videos. The next step is modelling them—an essential component of full-fledged intelligence in people and machines alike.

HSE AI Research Centre works on achieving applied results, striving not only to develop innovative algorithms and models, but also to put them into practice to solve real-world problems and tasks. Alexey Masyutin, Head of the AI Research Centre, spoke about some of the the specifics of applying AI technologies in various fields.

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.

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.

Aleksey Kychkin, a researcher at the Laboratory for Interdisciplinary Empirical Studies (LINES), and Oleg Gorshkov, a research assistant at LINES, received a patent for a system that predicts the spatial distribution of harmful substances in atmospheric air using an artificial intelligence unit. The invention can be used for integrated planning and notification of the risks of atmospheric air pollution by harmful substances. The work was carried out under a grant from the HSE University Artificial Intelligence Centre. The HSE News Service spoke with Aleksey Kychkin about the benefits of the new system, its application, and how it came to life.

Neural network generative models have achieved impressive results in recent years, but researchers are still working on increasing their efficiency. Researchers from the HSE Faculty of Computer Science and AIRI have managed to optimize the finetuning of the StyleGAN2 neural network, which creates realistic images, to new domains, reducing the number of trained parameters by four orders of magnitude. At the same time, the quality of the obtained images remained high. The results of this work were presented at the NeurIPS 2022 conference.

Roman Yankovskiy, head of the Centre for Legal Education Transformation at the HSE Faculty of Law, academic supervisor of the Digital Lawyer programme, has written an article in a legal journal using ChatGPT. The experiment was agreed upon with the journal’s editorial board. The author explains why we need such an experience, whether artificial intelligence (AI) is up to the task, and whether we can prohibit its use in scientific work.