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Dave Ackley
Computing UpEpisodes
Dave Ackley
Computing Up
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Episodes of Computing Up
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Martha White, associate professor of Computing Science at University of Alberta (π, π) joins Michael and Dave in a conversation about AI, system prediction and control, the power of sparse representations, and many aspects of machineΒ learning
Computer scientist Rich Sutton, FRS (π, π, π), a quiet giant of machine learning, joins Michael and Dave in a sprawling conversation touching on reinforcement learning, a hopeful view of AI, the importance of ideas, and a host of other topic
Michael interviews Dave about his recent video (YouTube) on a 'theory of everything'. The conversation begins with Michael praising Dave for finally doing some theory, and descends from there.
Oren Etzioni, founding CEO of the Allen Institute for Artificial Intelligence and Professor Emeritus of Computer Science at University of Washington, (π, π, π) joins Michael and Dave in a conversation that ranges all over, from AI hype and l
Jonathan Frankle, the new Chief Scientist - Neural Networks at Databricks (π, π, π), joins Michael and Dave in a fast conversation about topics ranging from AI risks and fairness to the problems of Computer Science education to the beautiful
Michael and Dave talk about their love and hate relationships with writing, in the context of Dave's foray into publishing "Companionate Caring" and Michael's upcoming MIT Press book "Code to Joy".Β Β (This conversation is Part 2 of Where The He
Michael and Dave catch up on where the hell they've been for the last couple months. (Mostly it's about busy, but Dave wants to blame everything on AI.)
Michael Levin (π, π, π) is the director of the Allen Discovery Center at Tufts University, and Distinguished Professor of Biology and Vannevar Bush Chair, among several other roles. In this episode he talks with Michael and Dave about comput
Cynthia Rudin, the Earl D. McLean, Jr. Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics,and Biostatistics & Bioinformatics at Duke UniversityΒ (π, π, π),Β joins Michael and Dave for a fast an
Vukosi Marivate, Associate Professor of Computer Science and ABSA UP Chair of Data Science at the University of Pretoria (π, π, π), joins Michael and Dave for a discussion of AI and machine learning research across Africa and around the worl
Andrew Davison is Professor of Robot Vision (π) at Imperial College London, and leads the Dyson Robotics Laboratory (π). Andrew invented the SLAM algorithm for robot mapping and navigation, and as this fast conversation makes clear, Dave and
Reclusive New York Times best-selling author John Twelve Hawks (π, π ,Β π) joins Michael and Dave to discuss problems of the world today and possibilities of the world tomorrow -- including AI risks, technological centralization, machines act
Peter Norvig π, who literally (co)wrote the book π on Artificial Intelligence in the 1990s, talks with Michael and Dave about how the field has changed over the years, AI fairness and ethics, what is a symbol, and much more. [Cover image base
Oriel FeldmanHall, Brown University assistant professor and director of the Social and Affective Neuroscience Lab (π, π), joins Michael and Dave in a wide-ranging discussion starting with what reinforcement learning does and doesn't mean -- a
Michael and Dave tackle the big questions and settle two of them: Is Agency A Zero Sum Game? Why Do (Internet of) Things Suck? How Can We Turn Computation Away From Centralization? [Image of ancient Philips Hue Controller operating without inte
James Tompkin π, assistant Professor of Computer Science at Brown University π, joins Michael and Dave to talk about visual computing research writ large, with topics ranging from the relevance of traditional computer graphics in the era of m
Ellie Pavlick, Assistant Professor of Computer Science at Brown University (π) and Research Scientist at Google AI (π), joins Michael and Dave in a quick discussion of the remarkable new large AI language models. Topics range from what is and
Andrew Critch (π), a mathematician, AI researcher, organizer and activist (cofounder π, researcher π, cofounder π),Β joins Michael and Dave for a fast-moving fifty minutes about existential risks (and opportunities) of AI and other technolo
Dave tries to explain why he thinks the best way to understand people and other living things is via computation and programming languages, via codebases and code transmissions. Michael tries to help Dave sound slightly sane. [Image based on st
Fiery Cushman @fierycushman, professor of psychology at Harvard University π, joins Michael and Dave in a wonderful conversation about morality seen both cognitively and computationally, with topics ranging from trolley problems and fake guns
Neil Lawrence (home, @lawrennd), the DeepMind Professor of Machine Learning at the University of Cambridge, joins Michael and Dave for a rollicking hour discussing everything from cybernetics to machine learning, from oil rigs to New Jersey sho
Carla Brodley, professor and Dean of Inclusive Computing at Northeastern University (link), talks to Michael and Dave about applying Machine Learning to real problems from computer security to medicine, and how to move the needle for diversity,
Karen Levy, assistant professor in Information Science at Cornell University, joins Michael and Dave in a conversation ranging from AI, law, and smart contracts to CB radio, Road Dog Trucking, and Santa's narcs.
Anita Nikolich, Director of Research and Technology Innovation at the University of Illinois School of Information Sciences (webpage), joins Michael and Dave in a conversation ranging over decades and disciplines, from computer network securit
Michael Bowling, professor of Computer Science at the University of Alberta, talks with Michael and Dave about robots playing robots at soccer, and how a computer program beat professional poker players at heads-up no-limit Texas Hold'em, and w
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