ServiceNow IA recherche

Chris Tyler

Chris Tyler

AI Developer

Agent Contextualization

Chris has a background in physics focusing on statistical mechanics and optics. He is an avowed generalist with an interest in art, design, history, philosophy, languages, linguistics and poetry. Before coming to ServiceNow through the Element AI acquisition, Chris was a member of the Human-AI Interaction research team and the Applied Research Lab. In the context ServiceNow AI Research, Chris is an AI Developer who can contribute to all aspects of AI/ML systems but with a particular interest in agent memory systems and novel user interactions, especially those based on natural language.

Intérêts
  • Natural Language Processing
  • Climate Change
  • Dialog
  • Design
  • Software Engineering
  • Text2Code

Publications

Azimuth: Systematic Error Analysis for Text Classification. Conference on Empirical Methods in Natural Language Processing (EMNLP),  2022.

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