Overview
The 4th Neuro-Symbolic AI Summer School (NSSS ’25) is set to take place online from August 14 to 15, 2025. This free event aims to immerse participants in the innovative field of neuro-symbolic AI, a rapidly evolving area that merges neural networks with symbolic reasoning techniques. The summer school is designed for graduate students, data scientists, and researchers eager to deepen their understanding of this cutting-edge domain.
Background & Relevance
Neuro-symbolic AI represents a significant advancement in artificial intelligence, combining the strengths of neural networks with symbolic reasoning. This integration addresses critical challenges in AI, such as enhancing human interpretability, improving learning efficiency with limited data, and achieving robust generalization in diverse scenarios. As AI continues to permeate various sectors, understanding these concepts becomes increasingly vital for researchers and practitioners alike.
Key Details
- Event: 4th Neuro-Symbolic AI Summer School 2025
- Dates: August 14–15, 2025
- Format: Online and free
- Theme: AI for Precise Computation: Math, Reasoning, Planning
- Registration Link: Register Here
- Speakers:
- Alexander Gray, Centaur AI Institute
- Ankit Anand, DeepMind
- Artur Garcez, City University London
- Arvind Narayanan, Princeton
- Bin Yu, UC Berkeley
- Bowen Li, Carnegie Mellon
- Changlong Wu, Purdue
- Felix Petersen, Stanford
- Kristian Kersting, TU Darmstadt
- Leilani Gilpin, UC Santa Cruz
- Mateo Zarlenga and Pietro Barbiero, Cambridge
- Olga Vileskaia and Kevin O’Connor, Centaur AI Institute
- Parikshit Ram, IBM Research
- Parisa Kordjamshidi, Michigan State
- Peihao Wang, UT Austin
- Pranava Madhyastha, City University London
- Soroush Saghafian, Harvard
- Sridhar Mahadevan, Adobe Research and UMass Amherst
- Yong Lin, Princeton
Eligibility & Participation
The summer school is targeted at graduate students, data scientists, and researchers interested in the intersection of neural networks and symbolic AI. Participants will gain valuable insights into the principles of neuro-symbolic AI and its applications.
Submission or Application Guidelines
To participate, interested individuals should register through the provided link. There are no specific submission requirements, as the event is designed for open participation.
More Information
The Neuro-Symbolic AI Summer School series has previously attracted thousands of attendees and featured prominent researchers, including Turing Award winners. This year’s focus on precise computation, reasoning, and planning is particularly relevant as the AI field continues to evolve and address complex challenges.
Conclusion
The 4th Neuro-Symbolic AI Summer School offers a unique opportunity to engage with leading experts and expand your knowledge in a pivotal area of AI. Interested individuals are encouraged to register and participate in this enriching experience, which promises to enhance understanding and foster collaboration in the neuro-symbolic AI community.
Category: Conferences & Workshops
Tags: neuro-symbolic ai, artificial intelligence, machine learning, data science, symbolic reasoning, human interpretability, out-of-distribution generalization, knowledge representation, AI education, online workshops, graduate students, research community
