An AI assistant for football analytics - Petar Veličković (Google DeepMind)
We are very happy for the possibility to have Petar Veličković explaining AI football tactics assistant developed in collaboration with experts from Liverpool FC!
When: 14th November at 6 pm CET
Where: online via https://www.youtube.com/watch?v=JGINjfmbXIM
A short summary of the talk:
When competing at the highest level of modern association football, the margins are incredibly tight, and it is increasingly important to be able to capitalise on any opportunity for creating an advantage on the pitch. To that end, top-tier clubs employ diverse teams of coaches, analysts and experts, tasked with studying and devising (counter-)tactics before each game. However, the analysis and execution of agreed-upon plans by players on the pitch is highly dynamic and imperfect, depending on numerous factors including player fitness and fatigue, variations in player movement and positioning, weather, the state of the pitch, and the reaction of the opposing team.
In this talk, I will describe TacticAI, an AI football tactics assistant we have developed and evaluated towards this end, in close collaboration with domain experts from Liverpool FC.
Petar Veličković is a Staff Research Scientist at Google DeepMind, Affiliated Lecturer at the University of Cambridge, and an Associate of Clare Hall, Cambridge. He holds a PhD in Computer Science from the University of Cambridge (Trinity College), obtained under the supervision of Pietro Liò. His research concerns geometric deep learning—devising neural network architectures that respect the invariances and symmetries in data (a topic he has co-written a proto-book about). For his contributions, he is recognised as an ELLIS Scholar in the Geometric Deep Learning Program. Particularly, he focuses on graph representation learning and its applications in algorithmic reasoning (featured in VentureBeat). He is the first author of Graph Attention Networks—a popular convolutional layer for graphs—and Deep Graph Infomax—a popular self-supervised learning pipeline for graphs (featured in ZDNet).
Save the date and don't forget to bring good questions!
