Revision as of 20:14, 21 March 2026

Ontology Summit 2026 Ontologies and AI

Manas Gaur Neurosymbolic AI for High Stakes Applications in the LLM Era
- Website
Luis Lamb Neurosymbolic AI: From research to industry
- Abstract: Neurosymbolic AI integrates neural machine learning with symbolic reasoning, combining data-driven learning with knowledge representation and logical inference. This integration addresses a limitation of neural methods--the lack of interpretability and formal semantics--which are essential in safety-critical domains where logic and formal methods have excelled. This talk briefly surveys the foundations, representative frameworks, and tools of neurosymbolic AI.
  We examine how neurosymbolic methods are adopted in industrial settings. Finally, we review recent deployments and product developments from industry, an assessment of open problems and current research directions.

Date: Wednesday, 25 March 2026
Start Time: 9:00am PDT / 12:00pm EDT / 5:00pm CET / 4:00pm GMT / 1600 UTC
- ref: World Clock
- Note: The US and Canada are on Daylight Saving Time while Europe has not yet changed.
Expected Call Duration: 1 hour
Video Conference URL: https://us02web.zoom.us/j/86994661673?pwd=mMUeaWyWhBMSzTw3SgH5GjMv2Qx4rH.1
- Meeting ID: 869 9466 1673
- Passcode: 803090
Please download and import the following iCalendar (.ics) files to your calendar system.
- Weekly: https://us02web.zoom.us/meeting/tZIkfu2uqDosHddtIR_XTIoQlXKQbDMLAing/ics?icsToken=DCmtbHKw6UkYvhXO1AAALAAAADorLjwBqUy1j8CrHtKZOzjPeUmMLYQ3XMGusEqr55Acc-ytgOkxl_cBUf2s1j36Jw38ZPHY_ofJ9thYEjAwMDAwMQ&meetingMasterEventId=8dTP3JiuSzqD32pYF8wsXQ

	Session
ConferenceCall 2026 04 01	Foundations and Tools

@@ Line 20: / Line 20: @@
 = [[OntologySummit2026|Ontology Summit 2026]] {{#show:{{PAGENAME}}|?session}} =
 * '''Manas Gaur''' ''Neurosymbolic AI for High Stakes Applications in the LLM Era''
-* '''Luis Lamb'''
+** [https://kai2.umbc.edu/ Website]
+* '''Luis Lamb''' ''Neurosymbolic AI: From research to industry''
+** Abstract: Neurosymbolic AI integrates neural machine learning with symbolic reasoning, combining data-driven learning with knowledge representation and logical inference.  This integration addresses a limitation of neural methods--the lack of interpretability and formal semantics--which are essential in safety-critical domains where logic and formal methods have excelled. This talk briefly surveys the foundations, representative frameworks, and tools of neurosymbolic AI.<br/>We examine how neurosymbolic methods are adopted in industrial settings. Finally, we review recent deployments and product developments from industry, an assessment of open problems and current research directions.
 == Conference Call Information ==