Symbolic Systems
Showing 61-80 of 122 Results
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Michal Kosinski
Associate Professor of Organizational Behavior at the Graduate School of Business
BioPlease visit: http://www.michalkosinski.com/
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James Landay
Denning Co-Director of Stanford Institute for Human-Centered AI, Anand Rajaraman and Venky Harinarayan Professor and Senior Fellow at the Stanford Institute for Human-Centered AI
Current Research and Scholarly InterestsLanday's current research interests include Technology to Support Behavior Change (especially for health and sustainability), Demonstrational User Interfaces, Mobile & Ubiquitous Computing, Cross-Cultural Interface Design, Human-Centered AI, and User Interface Design Tools. He has developed tools, techniques, and a top professional book on Web Interface Design.
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Victor R. Lee
Associate Professor of Education
Current Research and Scholarly InterestsAI literacy, data literacy, quantified self, maker education, conceptual change in science, elementary computer science education
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Mark Lemley
William Neukom Professor of Law and Senior Fellow at the Stanford Institute for Economic Policy Research
Current Research and Scholarly Interestsintellectual property, Internet, and antitrust law; law and AI/robotics
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Marc Levoy
VMware Founders Professor in Computer Science and Professor of Electrical Engineering, Emeritus
BioLevoy's current interests include the science and art of photography, computational photography, light field sensing and display, and applications of computer graphics in microscopy and biology.
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Christopher Manning
Thomas M. Siebel Professor of Machine Learning, Professor of Linguistics, of Computer Science and Senior Fellow at the Stanford Institute for Human-Centered AI
BioChristopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). From 2010, Manning pioneered Natural Language Understanding and Inference using Deep Learning, with impactful research on sentiment analysis, paraphrase detection, the GloVe model of word vectors, attention, neural machine translation, question answering, self-supervised model pre-training, tree-recursive neural networks, machine reasoning, dependency parsing, and summarization, work for which he has received two ACL Test of Time Awards and the IEEE John von Neumann Medal (2024). He earlier led the development of empirical, probabilistic approaches to NLP, computational linguistics, and language understanding, defining and building theories and systems for Natural Language Inference, syntactic parsing, machine translation, and multilingual language processing, work for which he won ACL, Coling, EMNLP, and CHI Best Paper Awards. In NLP education, Manning coauthored foundational textbooks on statistical approaches to NLP (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008), and his online CS224N Natural Language Processing with Deep Learning course videos have been watched by hundreds of thousands. In linguistics, Manning is a principal developer of Stanford Dependencies and Universal Dependencies, and has authored monographs on ergativity and complex predicates. He is the founder of the Stanford NLP group (@stanfordnlp) and was an early proponent of open source software in NLP with Stanford CoreNLP and Stanza. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and a Past President of the ACL (2015). Manning has a B.A. (Hons) from The Australian National University, a Ph.D. from Stanford in 1994, and an Honorary Doctorate from U. Amsterdam in 2023. He held faculty positions at Carnegie Mellon University and the University of Sydney before returning to Stanford.
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Ellen Markman
IBM Provostial Professor
BioMarkman’s research interests include the relationship between language and thought; early word learning; categorization and induction; theory of mind and pragmatics; implicit theories and conceptual change, and how theory-based explanations can be effective interventions in health domains.
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Jay McClelland
Lucie Stern Professor in the Social Sciences, Professor of Psychology and, by courtesy, of Linguistics and of Computer Science
Current Research and Scholarly InterestsMy research addresses topics in perception and decision making; learning and memory; language and reading; semantic cognition; and cognitive development. I view cognition as emerging from distributed processing activity of neural populations, with learning occurring through the adaptation of connections among neurons. A new focus of research in the laboratory is mathematical cognition and reasoning in humans and contemporary AI systems based on neural networks.
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Raymond McDermott
Professor of Education, Emeritus
Current Research and Scholarly InterestsInteraction analysis and social structure; the political economy of learning; writing systems; educational and psychological anthropology.
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Vinod Menon
Rachael L. and Walter F. Nichols, MD, Professor and Professor, by courtesy, of Education and of Neurology and Neurological Sciences
Current Research and Scholarly InterestsEXPERIMENTAL, CLINICAL AND THEORETICAL SYSTEMS NEUROSCIENCE
Cognitive neuroscience; Systems neuroscience; Cognitive development; Psychiatric neuroscience; Functional brain imaging; Dynamical basis of brain function; Nonlinear dynamics of neural systems. -
Mark Musen
Stanford Medicine Professor of Biomedical Informatics Research, Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly InterestsModern science requires that experimental data—and descriptions of the methods used to generate and analyze the data—are available online. Our laboratory studies methods for creating comprehensive, machine-actionable descriptions both of data and of experiments that can be processed by other scientists and by computers. We are also working to "clean up" legacy data and metadata to improve adherence to standards and to facilitate open science broadly.
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Reviel Netz
Patrick Suppes Professor of Greek Mathematics and Astronomy and Professor, by courtesy, of Philosophy and of History
BioNetz's main field is the history of pre-modern mathematics. His research involves the wider issues of the history of cognitive practices, e.g. visual culture, the history of the book, and literacy and numeracy. His books from Cambridge University Press include The Shaping of Deduction in Greek Mathematics: a Study in Cognitive History (1999, Runciman Award), The Transformation of Early Mediterranean Mathematics: From Problems to Equations (2004), and Ludic Proof: Greek Mathematics and the Alexandrian Aesthetic (2009).
He is also the author of the translation and commentary of the works of Archimedes, also with CUP, a three-volume work of which the first has appeared, The Two Books on Sphere and Cylinder (2004). Together with Nigel Wilson, he prepares the edition of the recently rediscovered Archimedes Palimpsest (evidence from which already gave rise to two major discoveries: a text showing actual infinity in Archimedes, published in SCIAMVS 2001-2002, and a text showing, possibly, combinatorics in Archimedes, published in SCIAMVS 2004.) Two volumes, Transcription and Critical Edition, are forthcoming from the British Academy, of which the transcription is already available online. His popular book on the Archimedes Palimpsest Project, The Archimedes Codex, (co-authored with William Noel, Neumann Prize) was published by Widenfeld and Nicolson, 2007, and is translated into 20 languages.
Related to his research in cognitive history is his interest in ecological history, and he has published Barbed Wire: an Ecology of Modernity (Wesleyan University Press, 2004, finalist for PEN award). Reviel Netz is also a poet (Adayin Bahuc, 1999 Shufra: Tel Aviv, AMOS prize), one of a group of Hebrew poets active today whose work revives formal verse and he is the co-author, together with his wife, the Israeli author Maya Arad, of a collection of essays on Israeli literature, Positions of Stress (Meqom Hata'am, 2008 Axuzat Bayit: Tel Aviv). -
William Newsome
Harman Family Provostial Professor and Professor of Neurobiology and, by courtesy, of Psychology
Current Research and Scholarly InterestsNeural processes that mediate visual perception and visually-based decision making. Influence of reward history on decision making.
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Miguel Novelo Cruz
Lecturer
BioMiguel Novelo (he/him/el) is an interdisciplinary artist, educator, and researcher who focuses on emerging media and community organizing—currently working on algorithmic video art, technoshammanic installations, thermodynamic hypnotism, and friendly computational virus-like software.
Novelo earned a Bachelor of Fine Arts from the San Francisco Art Institute in 2018, followed by a Master of Fine Arts from Stanford University in 2022. His work has been exhibited at various institutions, including the de Young Museum, the Stanford Institute for Human-Centered Artificial Intelligence (HAI), the Museo Universitario Arte Contemporáneo (MUAC) in Mexico City, and numerous international film festivals.
