AI Reading List: Sciences: Physical Sciences
Below is a portion of my informal list of readings related to Artificial Intelligence (AI). This started out as a very short list created for use in conjunction with an academic presentation and has now grown much larger. Please let me know if you have any corrections, additions, suggestions, etc. It is very idiosyncratic and not meant to be comprehensive. Please feel free to share with others.
Artificial Intelligence (AI) Reading List, by Philip Rubin
Sciences — Physical Sciences:
Ke Wang, et al. Computational Intelligence in Astronomy: A Survey. International Journal of Computational Intelligence Systems, 11, 575-590, 2018.
Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, and Joshua B. Tenenbaum. Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning. Proceedings of the Robotics: Science and Systems, RSS 2018, Pittsburgh, Pennsylvania, June 26-30, 2018.
Anil Ananthaswamy. AI Designs Quantum Physics Experiments beyond What Any Human Has Conceived. ScientificAmerican.com, July 2, 2021.
Jessica Esquivel. AI and particle physics: a powerful partnership. PhysicsWorld.com, May 12, 2021.
Physics-AI opportunities at MIT. MIT, 2022.
Zachary J. Baum, et al. Artificial Intelligence in Chemistry: Current Trends and Future Directions. Journal of Chemical Information and Modeling, 61: 7, 3197–3212, 2021.
Evan Ackerman. How the U.S. Army Is Turning Robots into Team Players. IEEE Spectrum, Sep. 23, 2021.
Tom Shivers. How DeepMind Is Reinventing the Robot. IEEE Spectrum, Sep. 27, 2021.
Shahab D. Mohaghegh. Ethics of Artificial Intelligence Plays a Role in Engineering. Journal of Petroleum Technology, Oct. 4, 2021.
Boyuan Chen, Robert Kwiatkowski, Carl Vondrick, and Hod Lipson. Full-Body Visual Self-Modeling of Robot Morphologies. arXiv:2111.06389, Nov. 11, 2021.
Greg Nichols. 2022: A major revolution in robotics. ZD Net, Dec. 22, 2021.
Bernie Brode. AI and nanotechnology are working together to solve real-world problems. The Overflow, March 21, 2022.
Charlie Wood. Powerful ‘Machine Scientists’ Distill the Laws of Physics From Raw Data. Quanta magazine, May 10, 2022.
Charlie Wood. How to Make the Universe Think for Us. Quanta Magazine, May 31, 2022.
Ashley Spindler. How artificial intelligence is changing astronomy. Astronomy, July 15, 2022.
Simons Foundation. Uncovering Hidden Patterns: AI Reduces a 100,000-Equation Quantum Physics Problem to Only Four Equations. SciTechDaily, Sep. 28, 2022.
Charles Q. Choi. Machine Learning Will Tackle Quantum Problems, Too. IEEE Spectrum, Sep. 28, 2022.
Theresa Duque. How do you solve a problem like a proton? Smash it, then build it back with machine learning. Phys Org, Oct. 25, 2022.
Tammy Xu. Machine learning could vastly speed up the search for new metals. MIT Technology Review, Oct. 25, 2022.
Anil Ananthaswamy. The Physics Principle That Inspired Modern AI Art. Quanta Magazine, Jan. 5, 2023.