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.

The seminars are aimed at a diverse audience with varying levels of expertise and backgrounds, including computer science, linguistics, neuroscience, and more. Discussions on the technical aspects of applied AI projects will benefit students, while research findings and details of theoretical projects may interest career researchers and academics. In addition to HSE University students and staff, the seminars are open to all interested parties.

Soroosh Shalileh, Head of the Laboratory of Artificial Intelligence for Cognitive Sciences, HSE University

— I find it very important to hold seminars where AI researchers can share their latest work and receive feedback from peers. Such events provide an excellent space for collaboration and help refine ideas through constructive criticism, thereby advancing research.

It is essential for scientists to be in an environment where they are surrounded by equally interested and committed enthusiasts. I aim to offer both young and experienced professionals the opportunity to benefit from such an environment, fostering new connections, and facilitating the exchange of knowledge and ideas. This, I am confident, will contribute greatly to our professional development.

Seminars are held once every two weeks in a hybrid format—online and in person in the meeting room of the HSE Centre for Language and Brain at 3 Krivokolenny Pereulok, room 302.

The seminars typically last for about an hour and a half, with 30-40 minutes allocated for keynote presenters, and the remaining time dedicated to discussing the subject. As English serves as the working language of the AICS Laboratory, all seminars are conducted in English.

The topic of the first seminar was 'Deep Learning Models to Meet Eye Fixation and Dyslexia.' Participants discussed the accuracy of artificial intelligence models in predicting dyslexia solely based on eye fixation data, the most effective methods for representing eye fixation to train AI models, and which family of AI models produces the best results. Experiments conducted at the AICS Laboratory have demonstrated, in particular, that treating eye fixation as a time series and employing the Long Short-Term Memory (LSTM) neural network enables nearly perfect diagnosis of dyslexia. The keynote presenters were Maria Krylova, Research Assistant at the AICS Laboratory, and Soroosh Shalileh, Laboratory Head.

Learn more about the laboratory on its website.

If you have any further questions, please feel free to email Soroosh Shalileh, Head of the AICS Laboratory, at sshalileh@hse.ru.

May 20