“‘AI’ Tag”,2019-08-28 ():
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Bibliography for tag
ai, most recent first: 95 related tags, 114 annotations, & 38 links (parent).
- See Also
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- Links
- “More to Lose: The Adverse Effect of High Performance Ranking on Employees’ Pre-Implementation Attitudes Toward the Integration of Powerful AI Aids”, SimanTov-2024
- “Wu’s Method Can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry”, et al 2024
- “Thousands of AI Authors on the Future of AI”, et al 2024
- “Bayesian Regression Markets”, et al 2023
- “A Quantitative Study of Inappropriate Image Duplication in the Journal Toxicology Reports”, 2023
- “Getting from Generative AI to Trustworthy AI: What LLMs Might Learn from Cyc”, 2023
- “How AI Can Distort Human Beliefs”, 2023
- “Defending Humankind: Anthropocentric Bias in the Appreciation of AI Art”, et al 2023
- “Exposure to Automation Explains Religious Declines”, et al 2023
- “Impossibility Theorems for Feature Attribution”, et al 2022
- “Who Made the Paintings: Artists or Artificial Intelligence? The Effects of Identity on Liking and Purchase Intention”, 2022
- “Would You Pass the Turing Test? Influencing Factors of the Turing Decision”, et al 2022
- “Machine Learning Reveals Cryptic Dialects That Explain Mate Choice in a Songbird”, et al 2022
- “The Human Black-Box: The Illusion of Understanding Human Better Than Algorithmic Decision-Making”, et al 2022
- “National Security Commission On Artificial Intelligence Final Report”, et al 2021
- “How Humans Impair Automated Deception Detection Performance”, 2021
- “Neuroprosthesis for Decoding Speech in a Paralyzed Person With Anarthria [Supplementary Appendix]”, et al 2021
- “Underspecification Presents Challenges for Credibility in Modern Machine Learning”, et al 2020
- “”Less Than One”-Shot Learning: Learning n Classes From M < N Samples”, 2020
- “A Time Leap Challenge for SAT Solving”, et al 2020
- “Superexponential [Modeling the Human Trajectory]”, 2020
- “A Promising Path Towards Autoformalization and General Artificial Intelligence”, 2020
- “Ball k-Means: A Fast Adaptive k-Means With No Bounds”, et al 2020b
- “Modeling the Human Trajectory”, 2020
- “Video-Guided Real-To-Virtual Parameter Transfer for Viscous Fluids”, 2019
- This Could Be Important: My Life and Times With the Artificial Intelligentsia, 2019
- “A Mulching Proposal”, et al 2019
- “Monte Carlo Gradient Estimation in Machine Learning”, et al 2019
- “Living With Harmony: A Personal Companion System by Realbotix™”, et al 2019
- “SageDB: A Learned Database System”, 2019
- “The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities”, et al 2018
- “Generation of Character Illustrations from Stick Figures Using a Modification of Generative Adversarial Network”, et al 2018
- “Reply to ‘Man against Machine: Diagnostic Performance of a Deep Learning Convolutional Neural Network for Dermoscopic Melanoma Recognition in Comparison to 58 Dermatologists’ by H. A. Haenssle Et Al”, Oakden-2018
- “When Will AI Exceed Human Performance? Evidence from AI Experts”, et al 2017
- “The Implications of Modern Business-Entity Law for the Regulation of Autonomous Systems”, 2016
- “Is Spearman’s Law of Diminishing Returns (SLODR) Meaningful for Artificial Agents?”, Hernandez-2016
- “Reflective Oracles: A Foundation for Classical Game Theory”, et al 2015
- “Machine Teaching: an Inverse Problem to Machine Learning and an Approach Toward Optimal Education”, 2015b
- “Bounded Kolmogorov Complexity Based on Cognitive Models”, et al 2013
- “Indefinite Survival through Backup Copies”, 2012
- “The International SAT Solver Competitions”, et al 2012
- “ELECTRON IMAGING TECHNOLOGY FOR WHOLE BRAIN NEURAL CIRCUIT MAPPING”, HAYWORTH 2012
- “Experimental Evolution of Multicellularity”, et al 2012
- “Why Philosophers Should Care About Computational Complexity”, 2011
- “Ontological Crises in Artificial Agents’ Value Systems”, 2011
- “Robots Should Be Slaves”, 2010
- “A Monte Carlo AIXI Approximation”, et al 2009
- “Machine Learning Attacks against the Asirra CAPTCHA”, 2008
- “InterNyet: Why the Soviet Union Did Not Build a Nationwide Computer Network”, 2008
- “The Basic AI Drives”, 2008
- “Asirra: a CAPTCHA That Exploits Interest-Aligned Manual Image Categorization”, et al 2007
- “On Universal Prediction and Bayesian Confirmation”, 2007
- “Self-Taught Learning: Transfer Learning from Unlabeled Data”, et al 2007
- “Assessing the Impact of the Green Revolution, 1960–40200024ya”, 2003
- “The Fastest and Shortest Algorithm for All Well-Defined Problems”, 2002
- “DART: Revolutionizing Logistics Planning”, 2002
- “Recent Developments in the Evolution of Morphologies and Controllers for Physically Simulated Creatures § A Re-Implementation of Sims’ Work Using the MathEngine Physics Engine”, 2001 (page 6)
- “Efficient Progressive Sampling”, et al 1999b
- “On the Optimality of the Simple Bayesian Classifier under Zero-One Loss”, 1997
- “An Evolved Circuit, Intrinsic in Silicon, Entwined With Physics”, 1997
- “The Psychology of Thinking: Embedding Artifice in Nature”, 1996
- “A Personal View of Average-Case Complexity”, 1995
- “Measuring the Complexity of Writing Systems”, et al 1994
- “Artificial Life: A Report from the Frontier Where Computers Meet Biology”, 1992
- “Where’s the AI?”, 1991
- “Oral History Interview With Terry Allen Winograd (OH #237) § SHRDLU”, 1991 (page 7)
- “Making a Mind Versus Modeling the Brain: Artificial Intelligence Back at the Branchpoint”, 1991
- “Copycat: A Computer Model of High-Level Perception and Conceptual Slippage in Analogy Making”, 1990
- “In Memory of Henry J. Kelley”, 1989
- “Machine Learning As an Experimental Science”, 1988
- “The Rise of the Expert Company: How Visionary Companies Are Using Artificial Intelligence to Archieve Higher Productivity and Profits”, et al 1988
- “One AI or Many?”, 1988
- “Acoustic Markov Models Used in the Tangora Speech Recognition System”, et al 1988
- “Profile of Claude Shannon”, 1987
- “Experiments With the Tangora 20,000 Word Speech Recognizer”, et al 1987
- “A Critique of Pure Reason”, 1987
- “On Machine Intelligence, Second Edition”, 1986
- “The Universal Machine: Confessions of a Technological Optimist”, 1985
- “Human Window on the World”, 1985
- “Randomness Conservation Inequalities; Information and Independence in Mathematical Theories”, 1984
- “Epigrams on Programming”, 1982
- Interstellar Communication: Scientific Perspectives, 1974
- “Universal Sequential Search Problems”, 1973
- Evolutionsstrategie: Optimierung Technischer Systeme Nach Prinzipien Der Biologischen Evolution, 1973
- “Scene Of Change: A Lifetime in American Science”, 1970
- “Experiments in the Recognition of Hand-Printed Text, Part II: Context Analysis”, 1968
- “Experiments in the Recognition of Hand-Printed Text, Part I: Character Recognition”, 1968b
- “Cybernetic Predicting Devices”, 1966
- “Speculations Concerning the First Ultraintelligent Machine”, 1966
- “Singular Extremals In Lawden’s Problem Of Optimal Rocket Flight”, 1963
- “A Steepest-Ascent Method for Solving Optimum Programming Problems”, 1962
- “The Social Implications of Artificial Intelligence”, 1962
- “Method of Gradients”, 1962
- “Design for an Intelligence-Amplifier”, 1956
- “A Proposal For The Dartmouth Summer Research Project On Artificial Intelligence”, 1955
- “Intelligent Machinery, A Heretical Theory”, 1951
- “Review of a Book by D. R. Hartree”, 1951
- “Computing Machinery And Intelligence”, 1950
- “Chance Remarks”, 1949
- “Principles of the Self-Organizing Dynamic System”, 1947
- “2022 Expert Survey on Progress in AI”
- “The Ethics of Reward Shaping”
- “Rules of Machine Learning”, 2024
- “Using Artificial Intelligence to Augment Human Intelligence”
- “Branch Specialization”
- “A Thinking Ape’s Critique of Trans-Simianism”
- “Blendshape and Kinematics Calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger Tracking Models.”
- “The Nature of Art”, 2024
- “Some Thoughts on Education and Political Priorities, 2013”
- “Submission #6347: Chef Stef’s NES Arkanoid
warplessin 11:11.18”- “Optical Character Recognition (OCR) in Google Docs”
- “Recent Progress in the Theory of Neural Networks”
- “A Primer on Why Computational Predictive Toxicology Is Hard”
- “The ACLU Fights for Your Constitutional Right to Make Deepfakes”
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