Поредната сбирка на Националния семинар по стохастика ще се проведе на 21 април 2026 г. (вторник) от 14:00 часа в зала 503 на ИМИ - БАН. Доклад на тема How long does it take to train an Elephant Random Walk ще изнесе Zheng Fang (University of Zurich). Резюме: We study how conditioning on the first k steps, which we think of as training, affects the long-term behavior of the Elephant Random Walk. When the elephant is conditioned to be at position k at time k , the first return time to the origin scales as k^{(4−4p)⁄(3−4p)} in the diffusive regime, and grows exponentially in the critical regime. We loosely interpret this as a measurement of the rate at which the elephant forgets [...]

На 24 април 2026 г. (петък) от 13:00 часа в зала 578 на ИМИ-БАН и онлайн чрез платформата zoom ще се проведе дистанционно заседание на семинара по „Алгебра и логика”. Доклад на тема: Sets preserved by a large subgroup of the special linear group ще изнесе Калоян Славов (Медицински университет, София). Резюме. The classical Kakeya problem in Euclidean space asks how "small" a set can be if it contains a unit line segment in every direction. More generally, packing sets contain all images of a given set under a collection of transformations. Finite field analogues offer a combinatorial and algebraic perspective and motivate our work. We study sets E in the affine plane over a finite field that are invariant under a large subgroup [...]

Следващата сбирка на Семинар "Дигитална култура" ще се проведе на 19 май 2026 г. (вторник) от 10:00 часа в зала 256 на ИМИ-БАН. Доклад на тема: Competing Conceptions of AGI ще изнесе Pei Wang (Temple University, USA), редактор на Journal of Artificial General Intelligence. Резюме: While the term "Artificial General Intelligence" (AGI) has been used to identify a research field for 20 years, a consensus on its goal remains controversial. These divergent interpretations are not merely philosophical, as they lead to fundamentally different research agendas and engineering methodologies. In this talk, the NARS (Non-Axiomatic Reasoning System) project is introduced, with an outline of its assumptions, representations, inference rules, and working process. NARS offers a fundamentally different vision of AGI than the one implied by today’s LLMs.