Publications

Artificial Intelligence: A Modern Approach
"Updated edition of popular textbook on Artificial Intelligence. This edition specific looks at ways of keeping artificial …
Stuart J. Russell, Peter Norvig
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Reward Is Enough
In this article we hypothesise that intelligence, and its associated abilities, can be understood as subserving the maximisation of …
David Silver, Satinder Singh, Doina Precup, Richard S. Sutton
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Geometric Deep Learning of RNA Structure
Machine learning solves RNA puzzles RNA molecules fold into complex three-dimensional shapes that are difficult to determine …
Raphael J. L. Townshend, Stephan Eismann, Andrew M. Watkins, Ramya Rangan, Maria Karelina, Rhiju Das, Ron O. Dror
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Highly Accurate Protein Structure Prediction with AlphaFold
Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through …
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A. A. Kohl, Andrew J. Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David Reiman, Ellen Clancy, Michal Zielinski, Martin Steinegger, Michalina Pacholska, Tamas Berghammer, Sebastian Bodenstein, David Silver, Oriol Vinyals, Andrew W. Senior, Koray Kavukcuoglu, Pushmeet Kohli, Demis Hassabis
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Highly Accurate Protein Structure Prediction with AlphaFold
Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through …
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A. A. Kohl, Andrew J. Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David Reiman, Ellen Clancy, Michal Zielinski, Martin Steinegger, Michalina Pacholska, Tamas Berghammer, Sebastian Bodenstein, David Silver, Oriol Vinyals, Andrew W. Senior, Koray Kavukcuoglu, Pushmeet Kohli, Demis Hassabis
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Dissecting Scientific Explanation in AI (sXAI): A Case for Medicine and Healthcare
Juan M. Durán
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What Can We Learn about Accuracy from Machine Learning?
Ravit Dotan
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Deep Learning for Gravitational-Wave Data Analysis: A Resampling White-Box Approach
In this work, we apply Convolutional Neural Networks (CNNs) to detect gravitational wave (GW) signals of compact binary coalescences, …
Manuel D. Morales, Javier M. Antelis, Claudia Moreno, Alexander I. Nesterov
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The Problem of Machine Ethics in Artificial Intelligence
The advent of the intelligent robot has occupied a significant position in society over the past decades and has given rise to new …
Rajakishore Nath, Vineet Sahu
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If Software Is Narrative: Joseph Weizenbaum, Artificial Intelligence and the Biographies of ELIZA
Software is usually studied in terms of the changes triggered by its operations in the material world. Yet to understand its social and …
Simone Natale
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The Intentional Stance Toward Robots : Conceptual and Methodological Considerations
DiVA portal is a finding tool for research publications and student theses written at the following 50 universities and research …
Sam Thellman, Tom Ziemke
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Reinforcement Learning, Second Edition: An Introduction
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research …
Richard S. Sutton, Andrew G. Barto
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Should We Treat Data as Labor? Moving Beyond “Free”
In the digital economy, user data is typically treated as capital created by corporations observing willing individuals. This neglects …
Imanol Arrieta-Ibarra, Leonard Goff, Diego Jiménez-Hernández, Jaron Lanier, E. Glen Weyl
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“The Action of the Brain”
Given the personal acquaintance between Alan M. Turing and W. Ross Ashby and the partial proximity of their research fields, a …
Hajo Greif
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Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins
The former world chess champion who played, and lost, against Deep Blue, a supercomputer, in 1997 discusses why he thinks humans should …
G. K. Kasparov, Mig Greengard
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The Handbook of Artificial Intelligence: Volume 3
The Handbook of Artificial Intelligence, Volume I focuses on the progress in artificial intelligence (AI) and its increasing …
Paul R. Cohen, Edward A. Feigenbaum
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Machine Wanting
Wants, preferences, and cares are physical things or events, not ideas or propositions, and therefore no chain of pure logic can …
Daniel W. McShea
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Building High-Level Features Using Large Scale Unsupervised Learning
We consider the problem of building high-level, class-specific feature detectors from only unlabeled data. For example, is it possible …
Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg S. Corrado, Jeff Dean, Andrew Y. Ng
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Re-Creating the Philosopher’s Mind: Artificial Life From Artificial Intelligence
Maurice H. T. Ling
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Principles of Synthetic Intelligence: Psi: An Architecture of Motivated Cognition
From the Foreword:"In this book Joscha Bach introduces Dietrich Dörner’s PSI architecture and Joscha’s implementation …
Joscha Bach
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The Harmonic Mind: From Neural Computation to Optimality-Theoretic Grammar
Paul Smolensky, Géraldine Legendre
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Artificial Intelligence
Patrick Henry Winston
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Philosophy and AI: Essays at the Interface
Robert Cummins, John L. Pollock
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Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems
A general method, the tensor product representation, is defined for the connectionist representation of value/variable bindings. The …
Paul Smolensky
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Backpropagation applied to handwritten zip code recognition
Yann Lecun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L.D. Jackel
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Into the Heart of the Mind: An American Quest for Artificial Intelligence
A team of computer scientists, working at the engineering school of the University of California at Berkeley to create Artificial …
Frank Rose
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A Learning Algorithm for Boltzmann Machines
The computational power of massively parallel networks of simple processing elements resides in the communication bandwidth provided by …
David H. Ackley, Geoffrey E. Hinton, Terrence J. Sejnowski
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Optimal Perceptual Inference
Geoffrey E. Hinton, Terrence J. Sejnowski
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Artificial Intelligence, Psychology, and the Philosophy of Discovery
Buchanan and Darden have provided compelling reasons why philosophers of science concerned with the nature of scientific discovery …
Paul Thagard
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Mathematical Discovery on Understanding, Learning and Teaching Problem Solving, Volumes I and II
A unique, heuristic approach to mathematical discovery and problem solving This combined edition of Mathematical Discovery: On …
George Polya
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Mechanism, Mentalism and Metamathematics An Essay on Finitism.
J Webb
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Artificial Intelligence—A Personal View
D. Marr
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Language Identification in the Limit
Language learnability has been investigated. This refers to the following situation: A class of possible languages is specified, …
E Mark Gold
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Principles of Neurodynamics. Perceptrons and the Theory of Brain Mechanisms
Part I attempts to review the background, basic sources of data, concepts, and methodology to be employed in the study of perceptrons. …
Frank Rosenblatt, Defense Technical Information Center
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