Gästföreläsare Oleg Sinavski, Wayve London

Agenda:
13.00-13.20 Isak Hjortgren, Kognic: Aligning application intent through datasets.
13.20-14.00 Oleg Sinavski, Wayve, Language and Video-Generative AI in Autonomous Driving. See below for additional details.
14.15-14.35 Maryam Fatemi, Zenseact, On using deep learning for autonomous driving.
14.40-15.00 Jon Paul Janet, Astra Zeneca: Accelerating drug design with AI & simulation

Abstract:
Recent advances in Large Language Models (LLMs) demonstrate the possibility of achieving human-level capabilities in generating explanations and reasoning using end-to-end text models. Meanwhile, explainability and reasoning remain significant challenges in the field of autonomous driving. Wayve's unique approach to end-to-end self-driving positions the company to make use of these recent developments. In this talk, we showcase Wayve’s latest advancements in language and video generative AI, present some techniques and discuss their current and future applications.

Bio:
Oleg Sinavski is currently a Principal Applied Scientist at Wayve, London. His research interests focus on applying advances in large language models to the fields of self-driving, reinforcement learning, planning, and simulation. Previously, Oleg worked at Brain Corp in San Diego, CA, as the VP of R&D, where he led research efforts in scalable robotic navigation. Earlier in his career, he specialized in neuromorphic computation and hardware and holds a Ph.D. in computational neuroscience.

Welcome!

Lennart Svensson and Oleg Sinavski