[Editor’s Note: The U.S. Army Futures Command (AFC) and Training and Doctrine Command (TRADOC) co-sponsored the Mad Scientist Disruption and the Operational Environment Conference with the Cockrell School of Engineering at The University of Texas at Austin on 24-25 … Read the rest
112. A Strategy for Everything: Quantum Artificial Intelligence, Quantum Multiverse, and Feedback Loop of Finite Information
[Editor’s Note: Mad Scientist Laboratory is pleased to publish the following post by repeat guest blogger Mr. Victor R. Morris, addressing the relationship of Artificial Intelligence (AI), Robotic and Autonomous systems (RAS), and Quantum Information Science (QIS) to … Read the rest
111. AI Enhancing EI in War
[Editor’s Note: Mad Scientist Laboratory is pleased to publish today’s guest blog post by MAJ Vincent Dueñas, addressing how AI can mitigate a human commander’s cognitive biases and enhance his/her (and their staff’s) decision-making, freeing them to do what … Read the rest
100. Prediction Machines: The Simple Economics of Artificial Intelligence
[Editor’s Note: Mad Scientist Laboratory is pleased to review Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb, Harvard Business Review Press, 17 April 2018. While economics is not … Read the rest
99. “The Queue”
[Editor’s Note: Mad Scientist Laboratory is pleased to present our October edition of “The Queue” – a monthly post listing the most compelling articles, books, podcasts, videos, and/or movies that the U.S. Army’s Training and Doctrine Command (TRADOC) Mad … Read the rest