Neuro-Symbolic AI Summer School 2026
Live: https://youtube.com/live/W0jtQ3zwtEg?feature=share
Please join us for the 5th Neuro-Symbolic AI Summer School (NSSS), a free, fully-remote meeting to be held Aug 6-7, 2026. Learn how to be part of this exciting area at the most forward-looking cutting edge of AI. This year's theme is "Beyond Current LLMs: Tools and Techniques for Higher Reliability and Lower Costs".
Schedule: https://www.centaurinstitute.org/nsss26
Day 1 Live on YouTube (9-5 ET)
9-9:25 [Overview] Alexander Gray (Centaur AI Institute)
9:25-9:30 [a special offer for researchers from our sponsor, Valency]
9:30-10:15 [Tutorial] NSAI Overview, Vaishak Belle (U of Edinburgh)
10:15-11 [Tutorial] RAIL Framework, Luis Lamb (Centaur AI Institute, Stony Brook U)
11-11:45 [Tutorial] Improving Reasoning Abilities of LLMs, Xiao Wen (Nanjing U)
12:15-12:45 [Talk] Industry Talk, Cristina Cornelio (Samsung)
12:45-1:15 [Talk] Industry Talk, Dimitra Giannakopoulou (Amazon)
1:30-2 [Talk] Industry Talk, George Morgan (Symbolica)
2-2:30 [Talk] Industry Talk, Vincent Lextrait (Metaspex)
2:30-3 [Talk] Industry Talk, Sajjad Hussain Khazipura (Daax)
3-3:30 [Talk] Industry Talk, Peng Qi (Orby/Uniphore)
3:30-4 [Talk] Industry Talk, Jans Aasman (Franz)
4:15-5 [Talk] Making High-Assurance AI Possible, Benjamin Grosof (DARPA)
Day 2 Live on YouTube (9-5 ET)
9-9:15 [Overview] Alexander Gray (Centaur AI Institute)
9:15-10 [Tutorial] Logic Programming, Bob Kowalski (Imperial College London)
10-10:45 [Tutorial] Reasoning Shortcuts, Emanuele Marconato (U of Trento)
11-11:30 [Talk] Logic Gate Networks, Fabian Kresse (IST Austria)
11:30-12 [Talk] Hypercube, Ben Huh (Centaur AI Institute)
12-1 [Panel] Reviving the Dreams of Symbolic AI: What's Different Now
Benjamin Grosof, Bob Kowalski, John Laird (U of Michigan), Michael Witbrock (U of Auckland)1:30-2:15 [Tutorial] Neuro-Symbolic Robotics, Emre Ugur (Bogazici U)
2:15-3 [Tutorial] Generalized Planning, Dillon Chen (U of Toronto)
3:15-4 [Fireside Chat] RL Past and Future: Lessons and Inspirations, Andrew Barto (UMASS Amherst)
4-5:15 [Panel] Are LLMs Oversold?
Emily Forlini (Fortune, TWiT.tv) Ryan Grim (Drop Site, Breaking Points) Gary Marcus (NYU) Alexander Gray (Centaur AI Institute)
NSSS '26 Description
Tired of the same old AI ideas and looking for something new? Or wondering if there are any deep alternatives to models that hallucinate, elude human debuggability, and have only limited ability to reason, plan, or do math?
🌐 NSSS ‘26 is the latest in a series of research and educational events 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 a curation of emerging research ideas at the intersection.
🎯 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).
Background on previous events:
Our previous Neuro-Symbolic AI Summer School events have attracted thousands of registrants and featured top researchers including Turing Award winners and National Academies members.