Ways to PARTICIPATE

in Neuro-Symbolic AI

  1. Get on our community’s mailing list

  2. Collaborate on our GitHub

  3. Get on our Discord channel

  4. Follow the Institute on LinkedIn

  5. Rewatch or stream our videos on YouTube

1.  Join

Our Community!

Learning

To learn more about neuro-symbolic AI, see our yearly crash course on basic concepts and curated set of the most recent developments here.

If you’re hosting a viewing party with more than a handful of friends and colleagues during one of our online events, let us know in advance and we’ll give you and your group a shout-out during the event.

Operational and education team

For those who want to help the Institute execute its mission and bring ideas for how to do it better, we welcome new members to the Operations team, which plans, creates, and executes our:

  • Events and education program (being expanded)

  • Discussion forums

  • Outreach

  • Grant proposals

  • Seminar series, online resources, sponsorship program (being developed)

2. Learn

& Help Others Learn

3. Solve

Open Problems with Us

Help us build some big things. Make sure to check out our open Jobs here.

Do research with us

New collaborators (researchers in academia or industry or government, graduate students, data scientists, engineers) are always welcome!

All research by the Institute is collaborative and open, i.e. it works toward publications and open source software, aimed to advance the AI research community at large (only work performed in the Centaur AI Corporation may be proprietary and any such work will be clearly identified as such and performed under appropriate contract).

Students seeking guidance

Helping postdocs, PhD students, and Master's students by informally or formally advising/co-advising in neuro-symbolic research is one of the chief functions of the Institute, and one which we enjoy greatly. If you have some work you'd like to get our advice/help/collaboration on, or would like to get into neuro-symbolic AI research with a Centaur project, let us know.

  • Research is currently organized according to the following working groups:

    • Semantic parsing and generation (neuro-symbolic NLP for precision understanding of text and generative AI without hallucinations)

    • Learning and parsing of compositional structures, e.g. programs, grammars, cellular automata (algorithms for compositional and out-of-distribution generalization, inductive logic programming, grammar induction, abstraction)

    • Theory and practice of reasoning (new foundations for correct and efficient reasoning)

    • Probabilistic and causal semantics (more powerful semantics including handling ignorance and causality with cycles and partial identification)

    • Sequential decision making (greater efficiency and safety via neuro-symbolic reinforcement learning, planning, and robotics)

    • Semantic information theory and learning theory (new extension of information theory incorporating semantics and reasoning, and learning-theoretic implications for dramatic new efficiencies)

  • We have projects for preparedness levels as early as highly talented undergraduate STEM students, as long as you can program well. (We also have highly mathematical projects, but these are at the graduate level only.) Otherwise, just bring your best productivity and willingness to learn fast by doing, and the team will be happy to help you advance.

  • The absolute minimum is one full day (8-12 hours) every week reliably, in order for the team to be able to depend on your contribution and invest members’ valuable time in you. The rewards you will get out will be proportional to the work you put in.

  • See our working culture here.

  • The Institute has hosted highly selective paid summer research internships at the PhD student level since 2024, and also hosts in special cases unpaid undergraduate internships. To find out more, go here. Otherwise, most work in the Institute is voluntary. The main reward is the ability to work with and co-publish with strong researchers on meaningful AI problems, and get experience for your CV or a letter of reference if desired.

Soar with us

  • We welcome corporate sponsorship of our events, research, and potential scholarships and internships.

  • Similar to a university, we anticipate in the future helping to incubate startups based on neuro-symbolic technology, leveraging our past entrepreneurial experience. For existing startups, we can help to advertise your existence and tools via a talk at one of our events.

  • For assistance with articles on neuro-symbolic AI, AGI, perspectives on related current events in AI, or other AI topics, contact Alexander Gray.

  • We can lead or participate in grants, e.g. from NSF, DARPA, non-profit foundations, or any other funders of research.

  • To help our efforts toward smarter and safer, human-supporting AI, or to discuss sponsorships, startups, journalism, or grants, send us a message.