Neuro-Symbolic AI Summer School 2024
Please join us for the 3rd Neuro-Symbolic AI Summer School (NSSS), a free, fully-remote meeting to be held Sep 4-6, 2024 - where you can learn how to be part of this exciting area at the most forward-looking cutting edge of AI.
NSSS '24 is the latest in a series of events which alternate between research workshops and summer schools that aim to accelerate progress in the fast-emerging area of neuro-symbolic AI by teaching graduate students, data scientists, and researchers principles from the side of AI they may be less familiar with, as well as presenting the most exciting emerging research ideas at the intersection.
Confirmed speakers/topics this year include:
- Francois Chollet, Google
- Paul Smolensky, Microsoft Research
- Alvaro Velasquez, DARPA
- Alessandra Russo, Imperial College London
- Guy Van den Broeck, UCLA
- Crash-course tutorials from top experts on logic, neural networks, knowledge graphs, and AlphaProof-style neural-guided theorem proving
- Emerging industry neuro-symbolic AI tools from the next generation of AI startups
- Interactive discussions that everyone can join, where we will be planning new projects
...with much more to be announced.
The focus of the event is on techniques, in particular those which augment neural network/ML ideas with symbolic AI ideas, to address at least three main open problems of AI: 1) human interpretability/controllability, 2) learning with less data/computation (e.g. via knowledge), and 3) out-of-distribution generalization (e.g. via reasoning).
Days 1 and 2 (Wed, Sep 4, and Thu, Sep 5, 2024) will focus on tutorials on selected background knowledge (logical reasoning, neural networks, etc) to help new researchers get into the area, and selected neuro-symbolic approaches and their corresponding software. Day 3 (Wed, Sep 6, 2024) will feature "birds-of-a-feather" guided group discussions centered around a few selected topics.
Event website: https://neurosymbolic.github.io/nsss2024/