Explores cognitive biases, emotions, and language evolution, covering memory failures, decision-making heuristics, and the origins of language.
Delves into challenges of learning from probabilistic models, covering computational complexity, data reconstruction, and statistical gaps.
Explores optimization, simulation, data analysis, and the importance of considering more than just the mean in engineering systems.
Explores the theoretical aspects of UX audit, expert evaluation, and benchmarking, emphasizing the importance of detecting design issues impacting usability and user experience.
