IBM Neuro-Symbolic AI Workshop 2022 - overview
IBM Neuro-Symbolic AI Workshop 2022
Unifying Statistical and Symbolic AI
Neuro-symbolic AI combines knowledge-driven symbolic AI and data-driven machine learning approaches. In this workshop we will show our recent progress toward some of the most outstanding issues in today's AI:
- Incorporation of complex domain knowledge into learning, including ways to ensure trusted behavior -- and vice versa, incorporation of learning to account for incomplete or imperfect knowledge
- Rigorous expressive reasoning which is 'soft' (handles uncertainty) while computationally practical
- Learning with many fewer examples through the use of knowledge
- Full explainability by construction, including the reasons the models make their decisions
- Natural language processing via this approach to achieve state-of-the-art results, including handling more complex examples than is possible with today's default AI.
This workshop will include talks from IBM researchers and other academic AI experts. The speakers will share an overview of neuro-symbolic AI technologies, achievements to date, and future direction for the field. The workshop will also include a panel discussion on the future of AI and the possible role of neuro-symbolic AI approaches.
The variety of topics, presentation modalities, and stakeholders will allow the audience of this workshop to reflect on the best path to advance AI in a way that is at the same time scientifically inspiring, economically sustainable, and beneficial to society.
Register to get information about upcoming events.
Recording of the full workshop is available at LINK
Agenda
Day 1, Session 1: Introduction -- (Replay)18 January 2022 (08:30 - 10:40 ET) |
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|---|---|---|
| Time | Topic | Speaker |
| 08:30 ET |
Workshop Introduction (10 mins)
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Lead: Alexander Gray (IBM) Speakers: Francesca Rossi (IBM), Murray Campbell (IBM), Lior Horesh (IBM) |
| 08:40 ET |
Invited talk 1: A Short on the History and Evolution of Neurosymbolic AI (30 mins) |
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| 09:10 ET |
Neuro-symbolic AI overview (1 hour + 5 mins QA) |
Alexander Gray (IBM) |
| 10:15 ET |
General AI and Interactive fiction (30 mins + 5 mins QA) |
Murray Campbell (IBM) |
Day 1, Session 2: Learnable Reasoning -- (Replay)18 January 2022 (11:30 - 13:40 ET) |
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|---|---|---|
| Time | Topic | Speaker |
| 11:30 ET |
Learnable Reasoning (1 hour + 5 mins QA) |
Ndivhuwo Makondo (IBM), Hima Karanam (IBM) |
| 12:40 ET |
Invited talk 2: Theory of real-valued logics (30 mins) |
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| 13:10 ET |
Invited talk 3: Bridging Lukasiewicz logic with Neural Networks: a fruitful link (30 mins) |
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Day 1, Session 3: Natural Language Understanding -- (Replay)18 January 2022 (14:00 - 16:10 ET) |
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|---|---|---|
| Time | Topic | Speaker |
| 14:00 ET |
Natural Language Understanding(1 hour + 10 mins QA) |
Pavan Kapanipathi (IBM), Salim Roukos (IBM), Radu Florian (IBM) |
| 15:10 ET |
Invited talk 4: It’s Time for Reasoning (30 mins) |
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| 15:40 ET |
Invited talk 5: System 1 Reasoning with Box Embeddings and System 2 Reasoning from Subgraph Cases (30 mins) |
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Day 1, Session 4: Knowledge Foundations -- (Replay)18 January 2022 (16:30 - 18:40 ET) |
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|---|---|---|
| Time | Topic | Speaker |
| 16:30 ET |
Knowledge Foundation (1 hour + 10 mins QA) |
Rosario Uceda-Sosa (IBM), Maria Chang (IBM), Guilherme Lima (IBM) |
| 17:40 ET |
Invited talk 6: Designing AI-Enabled Systems for Longevity (30 mins) |
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| 18:10 ET |
Invited talk 7: Positive AI with Social Commonsense Models (30 mins) |
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Day 2, Session 1: Optimal Action -- (Replay)19 January 2022 (08:30 - 10:40 ET) |
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|---|---|---|
| Time | Topic | Speaker |
| 08:30 ET |
Optimal action (1 hour + 10 mins QA) |
Shirin Sohrabi (IBM), Debarun Bhattacharjya (IBM) |
| 09:40 ET |
Invited talk 8: Rich Representations for Rational Robots (30 mins) |
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| 10:10 ET |
Invited talk 9: Building Taskable Reinforcement Learning Agents (30 mins) |
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Day 2, Session 2: Insight -- (Replay)19 January 2022 (11:00 - 13:10 ET) |
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|---|---|---|
| Time | Topic | Speaker |
| 11:00 ET |
Insight (1 hour + 10 mins QA) |
Renato Cerqueira (IBM), Sanjeeb Dash (IBM) |
| 12:10 ET |
Invited talk 10: What's new in Learning and Reasoning? (30 mins) |
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| 12:40 ET |
Invited talk 11: Building machines that see, learn and think like people (30 mins) |
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Day 2, Session 3: Learning with less -- (Replay)19 January 2022 (13:30 - 15:40 ET) |
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|---|---|---|
| Time | Topic | Speaker |
| 13:30 ET |
Learning with less (1 hour + 10 mins QA) |
Mark Squillante (IBM), Ken Clarkson (IBM) |
| 14:40 ET |
Invited talk 12: Meta-Learning (30 mins) |
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| 15:10 ET |
Invited talk 13: Implicit Symbolic Representation and Reasoning in Deep Networks for Vision and Language (30 mins) |
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Day 2, Session 4: Related Advances -- (Replay)19 January 2022 (16:00 - 18:10 ET) |
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|---|---|---|
| Time | Topic | Speaker |
| 16:00 ET |
Neuro-symbolic AI related advances (1 hour + 10 mins QA) |
Lior Horesh (IBM) |
| 17:10 ET |
Invited talk 14: Rebooting AI (30 mins) |
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| 17:40 ET |
Invited talk 15: SynAGI (30 mins) |
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Day 2, Session 5: Closing -- (Replay)19 January 2022 (18:15 - 19:30 ET) |
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|---|---|---|
| Time | Topic | Speaker |
| 18:15 ET |
Neuro-Symbolic AI Toolkit (10 mins + 5 mins QA) |
Naweed Khan (IBM) |
| 18:30 ET |
Panel: The future of (neuro-symbolic) AI (1 hour) |
Moderator: Francesca Rossi (IBM) Panelists: |
| 19:25 ET |
Closing remarks |
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Contact
If you have any questions feel free to get in touch with the organizer, Asim Munawar at asim@ibm.com