Frontiers of AI

5 PM, 18 May 2026

Mikhail Burtsev and Yang-Hui He explore advances in AI, from long-context transformers to the impact of machine intelligence on science.

London Institute Fellows Dr Mikhail Burtsev and Prof. Yang-Hui He chart the technical frontiers of AI and its implications for science and the economy in two complementary talks for invited guests.

Dr Burtsev discusses his work on overcoming the context-length limits of modern transformer models. He introduces architectures that incorporate explicit recurrent memory, enabling models to retain and retrieve information across long sequences. These approaches move transformers beyond fixed-window processing to streaming systems with trainable state, allowing efficient modelling of large-scale text, logs and time series.

In his talk, Prof. He reflects on the wider trajectory of machine intelligence and its growing role in the mathematical sciences. He considers how AI systems are reshaping discovery and what their rise reveals about computation, knowledge and the nature of intelligence.

There will be time for audience questions and discussion over drinks with the speakers.

Event information

The event takes place on Monday 18 May at the London Institute for Mathematical Sciences, which is on the second floor of the Royal Institution. Entry is by invitation only.

Programme

  • 17:00 Arrival and drinks, Old Post Room
  • 17:30 Prof. Yang-Hui He, Introduction, Faraday seminar room
  • 17:35 Dr Mikhail Burtsev, “Breaking the context barrier.”
  • 18:05 Prof. Yang-Hui He, “The rise of the machines.”
  • 18:30 Drinks, Old Post room
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI
Frontiers of AI

Speakers

Mikhail Burtsev

Dr Mikhail Burtsev is a Landau AI Fellow at the London Institute. He was Scientific Director of the Artificial Intelligence Research Institute in Moscow, and founded and ran the Neural Nets and Deep Learning Lab at MIPT. He researches the mathematics behind more intelligent AI.

Yang-Hui He

Prof. Yang-Hui He is a Fellow at the London Institute and Chang-Jiang Chair at Nankai University in China. He works on geometry, number theory and string theory. In 2017, he helped launch the field of AI-guided mathematical discovery, where he continues to play a leading role.