AI and the Barrier of Meaning 2 - Speakers: Difference between revisions
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<div style="width: 600px">Melanie Mitchell is the Davis Professor of Complexity at the Santa Fe Institute. Her research focuses on conceptual abstraction, analogy-making, and visual recognition in AI systems. </div> <br> | <div style="width: 600px">Melanie Mitchell is the Davis Professor of Complexity at the Santa Fe Institute. Her research focuses on conceptual abstraction, analogy-making, and visual recognition in AI systems. </div> <br> | ||
[https://moseslab.cs.unm.edu/ <big>''' Melanie Moses'''</big>] <br> | |||
[[File:MelanieMoses.jpg|200px]] | |||
<div style="width: 600px">Melanie M. Moses is a Professor in the Department of Computer Science with a secondary appointment in the Department of Biology at the University of New Mexico as well as an External Faculty of The Santa Fe Institute. Her research focuses on how complex systems evolve, what makes them efficient, scalable and robust, and why they fail.</div> <br> | |||
[https://www.tylermarghetis.com/ <big>'''Tyler Marghetis'''</big>] | [https://www.tylermarghetis.com/ <big>'''Tyler Marghetis'''</big>] | ||
Latest revision as of 00:03, 25 February 2023
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Speakers (Subject to Change)
Melanie Mitchell is the Davis Professor of Complexity at the Santa Fe Institute. Her research focuses on conceptual abstraction, analogy-making, and visual recognition in AI systems.
Melanie M. Moses is a Professor in the Department of Computer Science with a secondary appointment in the Department of Biology at the University of New Mexico as well as an External Faculty of The Santa Fe Institute. Her research focuses on how complex systems evolve, what makes them efficient, scalable and robust, and why they fail.
Tyler Marghetis is an Assistant Professor of Cognitive & Information Sciences at the University of California, Merced. He studies cognition and communication in interconnected, multiscale, complex systems, including brains, bodies, small groups, and large sociocultural systems.