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Tag " artificial intelligence"

A New Tool Designed to Assess AI Ethics in Medicine Developed at HSE University

A New Tool Designed to Assess AI Ethics in Medicine Developed at HSE University
A team of researchers at the HSE AI Research Centre has created an index to evaluate the ethical standards of artificial intelligence (AI) systems used in medicine. This tool is designed to minimise potential risks and promote safer development and implementation of AI technologies in medical practice.

HSE Researchers Develop Novel Approach to Evaluating AI Applications in Education

HSE Researchers Develop Novel Approach to Evaluating AI Applications in Education
Researchers at HSE University have proposed a novel approach to assessing AI's competency in educational settings. The approach is grounded in psychometric principles and has been empirically tested using the GPT-4 model. This marks the first step in evaluating the true readiness of generative models to serve as assistants for teachers or students. The results have been published in arXiv.

HSE Scientists Propose AI-Driven Solutions for Medical Applications

HSE Scientists Propose AI-Driven Solutions for Medical Applications
Artificial intelligence will not replace medical professionals but can serve as an excellent assistant to them. Healthcare requires advanced technologies capable of rapidly analysing and monitoring patients' conditions. HSE scientists have integrated AI in preoperative planning and postoperative outcome evaluation for spinal surgery and developed an automated intelligent system to assess the biomechanics of the arms and legs.

HSE University and Sber Researchers to Make AI More Empathetic

HSE University and Sber Researchers to Make AI More Empathetic
Researchers at the HSE AI Research Centre and Sber AI Lab have developed a special system that, using large language models, will make artificial intelligence (AI) more emotional when communicating with a person. Multi-agent models, which are gaining popularity, will be engaged in the synthesis of AI emotions. The article on this conducted research was published as part of the International Joint Conference on Artificial Intelligence (IJCAI) 2024.

Neural Network for Assessing English Language Proficiency Developed at HSE University

Neural Network for Assessing English Language Proficiency Developed at HSE University
The AI Lingua Neural Network has been collaboratively developed by the HSE University’s AI Research Centre, School of Foreign Languages, and online campus. The model has been trained on thousands of expert assessments of both oral and written texts. The system evaluates an individual's ability to communicate in English verbally and in writing.

Reinforcement Learning Enhances Performance of Generative Flow Networks

Reinforcement Learning Enhances Performance of Generative Flow Networks
Scientists at the AI Research Centre and the AI and Digital Science Institute of the HSE Faculty of Computer Science applied classical reinforcement learning algorithms to train generative flow networks (GFlowNets). This enabled significant performance improvements in GFlowNets, which have been employed for three years in tackling the most complex scientific challenges at modelling, hypothesis generation, and experimental design stages. The results of their work achieved a top 5% ranking among publications at the International Conference on Artificial Intelligence and Statistics AISTATS, held on May 2-4, 2024, in Valencia, Spain.

‘I Came Up with the Idea to Create an Application Useful for Practicing Physicians’

‘I Came Up with the Idea to Create an Application Useful for Practicing Physicians’
Dmitry Ryabtsev, a 2024 graduate of the master's programme at the HSE Faculty of Computer Science, created an AI-powered software service for ophthalmology during his two years of study. This product is now entering the market, and its developer plans to participate in establishing a working group on software engineering for medical applications at the HSE Faculty of Computer Science, with the goal of promoting more genuinely useful domestic projects. In an interview with HSE News Service, Dr Ryabtsev shared his story of how a professional doctor turned into a programmer.

HSE University and Sber Conduct Foresight in Artificial Intelligence

Strategic foresight session on basic AI research
HSE University, in collaboration with Sber, have conducted a foresight study on artificial intelligence (AI). Its early results were discussed by the participants of a strategic foresight session on exploratory research in AI, held at the Coordination Centre of the Russian Government, headed by Deputy Prime Minister Dmitry Chernyshenko. The results from the foresight study will inform the Unified Research and Development Programme in the Field of AI.

White Papers of AI Conformity Assessment Published on HSE University Website

White Papers of AI Conformity Assessment Published on HSE University Website
The Russian Technical Committee for the Standardization of ‘Artificial intelligence’ (TC164), together with the Chamber for Indo Russo Technology Collaboration and the RUSSOFT Non-profit Partnership of Software Developers, has published new White Papers related to Artificial Intelligence Conformity Assessment. It reflects the approaches to the standardization and ethical regulation of AI technologies in two pilot industries — healthcare and agriculture.

Space for Collaboration in Artificial Intelligence

Space for Collaboration in Artificial Intelligence
The HSE Laboratory of Artificial Intelligence for Cognitive Sciences (AICS) has launched regular seminars, offering students and scientists from various universities and research centres the opportunity to share their latest research and discuss the most recent developments in artificial intelligence in a friendly and constructive atmosphere. The first seminar was held on May 15.