Embedded Files
Blaise Aguera y Arcas
Blaise Agüera y Arcas is a principal scientist at Google where he leads a team working on machine intelligence for mobile devices. His group works extensively with deep neural nets for machine perception and distributed learning, and investigates so-called "connectomics" research, assessing maps of connections within the brain.
Christine Caldwell is a Professor in the Division of Psychology at the University of Stirling. She carries out research on human and animal learning and cognition, with a particular interest in social learning and cultural evolution. Her research combines methods and techniques from experimental psychology with theoretical frameworks from the field of cultural evolution.
Ted Chiang is an award-winning science-fiction author on AI, time travel and alternate realities. Interested in the ways society and culture respond to tech, Chiang’s writing combines hard sci-fi and heartfelt explorations of humans living in society.
Mayalen Etcheverry is a PhD student in Machine Learning under the supervision of Pierre-Yves Oudeyer in the FLOWERS team at Inria, Bordeaux. Her research focuses on developing curiosity-driven AI agents that can autonomously discover and learn a diversity of structures and skills in their environments.
Jessica Flack is a professor at the Santa Fe Institute. Her research focuses on how nature computes solutions to problems & how these computations are refined over evolutionary and learning time. Drawing on evolutionary theory, cognitive neuroscience and behavior, statistical mechanics, information theory, dynamical systems and theoretical computer science, she studies the roles of information processing and collective computation in the emergence of robust structure and function in adaptive systems.
Dr. Michael Levin, PhD is a Developmental & Synthetic Biologist and the Director of the Allen Discovery Center at Tufts University and the Tufts Center for Regenerative and Developmental Biology. Levin’s work weds molecular physiology, cell biology, developmental genetics, biophysics, computer science, and engineering to make fundamental advances in regeneration, cancer, and birth defects.
Alexander Mordvintsev is a researcher and artist. He works at Google Research on Deep Neural Network visualization, interpretation and understanding. He created DeepDream, a computer vision program that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, to create dream-like psychedelic effects in images.
Michael C. Mozer is a Research Scientist at Google Brain. Formerly a professor in the Department of Computer Science and Institute of Cognitive Science (ICS) at CU Boulder, his research centers on human-centric artificial intelligence (AI)—AI that mimics and enhances human capabilities, understands and anticipates an individual’s needs, and acts in synergistic coordination with individuals.
Dr. Richard A. Watson is an Associate Professor for the Institute for Life Sciences/ Department of Computer Science at the University of Southampton. His research expertise links evolutionary biology and computer science to focus on the natural processes that create complex adaptive organisation (also known as 'the appearance of design').
David Wolpert is an IEEE fellow, author of the No Free Lunch Theorem, and Professor at the Santa Fe Institute. At SFI, Wolpert leads research on information, thermodynamics, and the evolution of complexity in biological systems. His work investigates what features are common to the processes that drive complexity increases through time.
Page updated
Google Sites
Report abuse