AI bibliography

Jayatunga, et al., 2024, How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons, in: Drug Discovery Today

UN System Chief Executives Board for Coordination, 2024, Summary of deliberations: United Nations system white paper on artificial intelligence governance: an analysis of current institutional models and related functions and existing international normative frameworks within the United Nations system that are applicable to artificial intelligence governance. “Under the ILO governance model, both trade unions and organizations of employers are involved in standard -setting and meetings of executive committees for shared decision-making and governance on an equal footing with Governments” (p. 39).

Ebers, 2024, Truly Risk-Based Regulation of Artificial Intelligence: How to Implement the EU’s AI Act (Stanford-Vienna Transatlantic Technology Law Forum)

Zhang, et al., 2024, Parallel molecular data storage by printing epigenetic bits on DNA, in: Nature. “An automatic liquid handling platform was used to typeset large-scale data at a speed of approximately 40 bits s−1”.

WIPO, 2024, Patent Landscape Report – Generative Artificial Intelligence (GenAI)

Villalobos, et al., 2024, Will we run out of data? Limits of LLM scaling based on human-generated data (arXiv)

Hadi Esmaeilzadeh, et al., 2023, Retrospective: dark silicon and the end of multicore scaling, in: ISCA@50 25-Year Retrospective: 1996-2020

Gebicke-Haerter, 2023, The computational power of the human brain, in: Frontiers in Human Neuroscience

Kagan, et al., 2022, In vitro neurons learn and exhibit sentience when embodied in a simulated game-world, in: Neuron

Schuman, et al., 2022, Opportunities for neuromorphic computing algorithms and applications, in: Nature Computational Science

Dally, et al., 2021, Evolution of the Graphics Processing Unit (GPU), in: IEEE Micro [Dally is a significant figure in NVIDIA]

Dixon, et al., 2021, Sensing the future of bio-informational engineering, in: Nature Communications

*Fernandez, et al., 2020, Engineering digital monopolies: The financialisation
of Big Tech (Stichting Onderzoek Multinationale Ondernemingen – Centre for Research on Multinational Corporations)

Burger, et al., 2020, A mobile robotic chemist, in: Nature

Mignan and Broccardo, 2020, Neural network applications in earthquake prediction (1994-2019): meta‐analytic and statistical insights on their limitations, in: Seismological Research Letters

Charlton McIlwain, 2019, Black Software: The Internet and Racial Justice, From the Afronet to Black Lives Matter

Leung, 2019, Who will govern artificial intelligence? Learning from the history of strategic politics in emerging technologies (University of Oxford)

Mody, 2017, The Long Arm of Moore’s Law: Microelectronics and American Science

Müller, et al., 2015, High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels, in: Lab on a Chip

Stephens, et al., 2015, Big data: astronomical or genomical?, in: PLoS Biology

LeCun, et al., 2015, Deep learning, in: Nature

Vapnik, 2010, Introduction: four periods in the research of the learning problem, in: The Nature of Statistical Learning Theory, 2nd edition

Koomey, et al., 2009, Assessing Trends in the Electrical Efficiency of Computation over time (Microsoft Corporation and Intel Corporation)

Engelbrecht, 2007, Computational Intelligence: an Introduction

Searls, 2007, A view from the dark side, in: PLoS Computational Biology

Christopher Lecuyer and David C. Brock, 2006, The materiality of microelectronics, in: History and Technology

Montrym and Moreton, 2005, The GeForce 6800, in: IEEE Micro

Thomas P. Hughes, 2004, Origins of the information revolution, in: Human-Built World: How to Think about Technology and Culture, pp. 96-109

Menzies, 2003, 21st-century AI: proud, not smug, in: IEEE Intelligent Systems

Lu Qiwen, 2000, China’s Leap into the Information Age: Innovation and Organization in the Computer Industry

Moravec, 1998, When will computer hardware match the human brain?, in: Journal of Evolution and Technology

Landauer, 1996, The physical nature of information, in: Physics Letters A

Schaffer, 1996, Babbage’s calculating engines and the factory system, in: Réseaux. Communication – Technologie – Société

Carver Mead, 1990, Neuromorphic electronic systems, in: Proceedings of the IEEE

Forester, 1987, High-Tech Society

Kraus and Bar-Cohen, 1983, Thermal Analysis and Control of Electronic Equipment

Duncan, 1981, Microelectronics: five areas of subordination, in: Science, Technology, and the Labour Process: Marxist Studies, vol. 1 (eds. Levidow and Young), pp. 172-207

Buchholz (ed.), 1962, Planning a Computer System: Project Stretch

UN Inter-Agency Working Group on AI (2020-2025) – AI for Good