معرفی
Ernest Davis is a Professor at the Department of Computer Science, Courant Institute of Mathematical Sciences, New York University. His research focuses on representing commonsense knowledge in AI systems, with an emphasis on spatial and physical reasoning, and he collaborates with Gary Marcus on integrating AI and psychological models.
He has authored over 50 scientific papers and three books, including Linear Algebra and Probability for Computer Science Applications (2012). His teaching includes courses on Artificial Intelligence and Fundamental Algorithms.
Research Trends: His recent work examines benchmarks for commonsense reasoning, limitations of large language models (e.g., GPT-4, DALL-E 2), mathematical reasoning in AI, and the Winograd Schema Challenge.
Professional Activities: He has served as an ACM reviewer, program committee member for 50+ conferences, and area editor for ACM Transactions on Computational Logic. He contributes book reviews to Computing Reviews, SIAM News, Artificial Intelligence journal, and others.
Non-Technical Writing: Davis writes for general audiences on topics spanning computer science, mathematics, cognitive psychology, and literary themes, published in outlets like The New Yorker, Wired, and The Times Literary Supplement.
