Human-computer interaction
Designing technology that is more intuitive, accessible, and useful across the full range of human experiences.
Computational models for brain science
In this talk, Dr. Laschowski will present his research developing new computational and machine learning models for studying intelligence. Examples include (1) deep learning models for visual perception, (2) decoding models that predict behaviour from…
Technical approach for classifying human-AI interactions at scale
Semantic Telemetry helps LLMs run efficiently, reliably, and in near real-time. Learn about the engineering behind that system, including the trade-offs and lessons learned along the way—from batching strategies to token optimization and orchestration.
Against Softmaxing Culture: Understanding Relational Practices in Expert and Ordinary Forms of Work
What can human-AI interaction research learn from the practices of fundi wa simu (phone repair technicians)? In this talk, Daniel will show how everyday practices of collaboration and exchange are structured by multiple and overlapping…
