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ai with ai: SinGAN in the Rain

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Andy and Dave discuss OpenAI’s update to an earlier summary of how computational resources have increased to reach each new AI breakthrough. The National Transportation Safety Board releases its report on the 2018 deadly Uber self-driving vehicle crash. Nasdaq has enlisted the aid of machine learning to provide additional security to stock trades. Researchers use a GAN to GANalyze the aspects of “memorable” pictures, while other researchers use a GAN (SinGAN) to generate new pictures from a single image. Over 20 authors come together to publish a paper on tackling climate change with machine learning. Francois Chollet publishes The Measure of Intelligence. Horace He has provided OpenReviewExplorer to include the International Conference on Learning Representations 2020. And FRONTLINE examines the promise and perils of AI.

ai with ai: 20,000 Layers Under the CNN

/our-media/podcasts/ai-with-ai/season-3/3-7

Andy and Dave discuss the full release of the algorithm that originally had to be locked up for the safety of humanity (GPT-2). NATO releases its final reports on the implications of AI for NATO’s Armed Forces. The US Army Research Lab wraps up a series of events on its efforts in robotics collaborative technology. The UAE announces the world’s first graduates level AI University opening in September 2020. And John Carmack announces he will step down at CTO of Oculus to tackle the challenge of artificial general intelligence, as a Victorian Gentleman Scientist. In research, two independent research groups introduce adversarial T-shirts. A report examines the taxonomy of real faults in deep learning systems. Krohn, Deyleveld, and Bassens publish Deep Learning Illustrated. The Nov/Dec issue of MIT Technology Review features a variety of AI and related stories. And Manuel Blum of CMU discusses Towards a Conscious AI: A Computer Architecture Inspired by Neuroscience.

ai with ai: Some Superintelligent Assembly Required

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In news, the Defense Innovation Board releases AI Principles: Recommendations on the Ethical Use of AI by the Department of Defense. The National Institute of Standards and Technology’s National Cybersecurity Center of Excellent releases a draft for public comment on adversarial machine learning, which includes an in-depth taxonomy on the possibilities. Google adds BERT to its search algorithm, with its capability for bidirectional representations, in an attempt to “let go of some of your keyword-ese.” In research, Stanford University and Google demonstrate a method for explaining how image classifiers make their decisions, with Automatic Concept-based Explanations (ACE) that extra visual concepts such as colors and textures, or objects and parts. And GoogleAI, Stanford, and Columbia researchers teach a robot arm the concept of assembling objects, with Form2Fit, which is also capable of generalizing its learning to new objects and tasks. Danielle Tarraf pens the latest response to the National Security Commission on AI’s call for ideas, with Our Future Lies in Making AI Robust and Verifiable. Jure Leskovec, Anand Rajaraman, and Jeff Ullman make their second edition of Mining of Massive Datasets available. The Defense Innovation Board posts a video of its public meeting from 31 October at Georgetown University. Maciej Ceglowski’s “Superintelligence: the idea that eats smart people” takes a look at the arguments against superintelligence as a risk to humanity.

ai with ai: When You Wish Upon an AlphaStar

/our-media/podcasts/ai-with-ai/season-3/3-5

In the news, Andy and Dave discuss the interim report from the National Security Commission on AI. DARPA’s new OFFensive Swarm-Enabled Tactics (OFFSET) program takes a look at swarm behavior. And DARPA picks the teams for its virtual Air Combat Competition (ACE). In research, DeepMind’s AlphaStar beats 99.8% of human games at StarCraft. A report on Mosaic Warfare looks at restoring the military competitiveness of US forces. Daniel Egel and Eric Robinson pen the latest response to the NSCAI call for ideas, examining the likely evolution, not revolution, of AI in Irregular Warfare. The Promise of AI: Reckoning and Judgment, by Brian Cantwell Smith, rounds out Andy’s pick for a trio of recent, interesting books on AI, taking a philosophical look at the topic. And mosaic warfare and multi-domain battle make the video of the week.

ai with ai: Weirder Things

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Facebook announces the Deepfake Detection Challenge, a rolling contest to develop technology to detect deepfakes. The US Senate passes the Deepfake Report Act, bipartisan legislation to understand the risks posed by deepfake videos. And US Representatives Hurd and Kelly announced a new initiative to develop a bipartisan national AI strategy with the Bipartisan Policy Center. In research, AI allows a paralyzed person to “handwrite” using his mind. From the University of Grenoble, a paralyzed man is able to walk using a brain-controlled exoskeleton. From the Moscow Institute of Physics and Technology, researchers use a neural network to reconstruct human thoughts from brain waves in real-time using electroencephalography. A report from Elsa Kania and Sam Bendett looks at technology collaborations between Russia and China in A New Sino-Russian High-Tech Partnership. In another response to the National Security Commission on AI, Margarita Konaev publishes With AI, We’ll See Faster Fights, But Longer Wars on the War on the Rocks. James, Witten, Hastie, and Tibshirani release An Introduction to Statistical Learning. Open Science Framework makes THINGS available, an object concept and object image database of nearly 14 GB, over 1800 object concepts and more than 26,000 naturalistic object images. And finally, Janelle Shane explains why the danger of AI is Weirder Than You Think.

ai with ai: The Quantum Menace

/our-media/podcasts/ai-with-ai/season-3/3-3

In news items, Microsoft wins bid for the Pentagon’s $10B Joint Enterprise Defense Infrastructure (JEDI) contract. DARPA’s Spectrum Collaboration Challenge (SC2), which aimed to create devices that work together to optimize spectrum use, names GatorWings (from the University of Florida) as the winner. A report from the Stanford University Institute for Human-Centered AI calls for the US Government to invest $120B in the nation’s AI ecosystem over the next 10 years. And CSET provides a translation of Russia’s National AI Strategy. In research, Google announces Quantum Supremacy, that is, they perform a calculation with Sycamore, their 53-qubit computer, taking 200 seconds to perform, that a classical computer “cannot” (saying that it would take 10,000 years). In response, IBM postulated that a classical computer could take advantage of hard drive space to do the calculation in a couple days. In reports, the Center for Security and Emerging Technology (CSET) publishes an examination of China’s Access to Foreign AI Technology, particularly noting that China’s “copycat” reputation oversimplifies its indigenous science and technology capacity and ability to innovate. Geist and Blumenthal from RAND pen “Military Deception: AI’s Killer App” for War on the Rocks, in response to the National Security Commission on AI’s call for ideas.. Stuart Russell releases Human Compatible, where he describes his approach to avoiding the threat of superhuman AI destroying civilization, which includes inherent uncertainty about the human preferences that they are required to satisfy. For resources, Nikola Plesa provides a centralized list of the biggest datasets available for machine learning. And “Bosstown Dynamics” by Corridor Digital provides a humorous look at military robots.

ai with ai: Newton & the 3-Body Problem

/our-media/podcasts/ai-with-ai/season-3/3-2

Andy and Dave discuss the AI-related supplemental report to the President’s Budget Request. The California governor signs a bill banning facial recognition use by the state’s law enforcement agencies. The 2019 Association of the US Army meeting focuses on AI. A DoD panel discussion explores the Promise and Risk of the AI Revolution. And the 3rd Annual DoD AI Industry Day will be 13 November in Silver Spring, MD. Researchers at the University of Edinburgh, the University of Cambridge, and Leiden University announce using a deep neural network to solve the chaotic 3-body problem, providing accurate solutions up to 100 million times faster than a state-of-the-art solver. Research from MIT uses a convolutional neural network to recover or recreate probable ensembles of dimensionally collapsed information (such as a video collapsing to one single image). Kate Crawford and Meredith Whittaker take a look at 2019 and the Growing Pushback Against Harmful AI. Air University Press releases AI, China, Russia, and the Global Order, edited by Nicholas Wright, with contributions from numerous authors, including Elsa Kania and Sam Bendett. Michael Stumborg from CNA pens a response to the National Security Commission’s request for ideas, on AI’s Long Data Tail. Deisenroth, Faisal, and Ong make their Mathematics for Machine Learning available. Melanie Mitchell pens AI: A Guide for Thinking Humans. An article in the New Yorker by John Seabrook examines the role of AI/ML in writing, with The Next Word. And the Allen Institute for AI updates its Semantic Scholar with now more than 175 million scientific papers across even more fields of research.

ai with ai: JAICs on a Plane with a Cube of the Rubik

/our-media/podcasts/ai-with-ai/season-3/3-1

Welcome to Season 3.0! Andy and Dave discuss the AI in Advancement Advisory Council’s State of AI Advancement report, which takes a look at the impact of AI on roles within advancement. Researchers at Fudan and Changchun Institute of Optics announce a 500 MP camera (with associated cloud-powered AI) capable of identifying a face among tens of thousands. The U.S. National Science Foundation announces the National AI Research Institute, which anticipates approving $120M in grants next year. A recent solicitation from the Defense Innovation Unit seeks to understand trends in world events. And the JAIC has a new website. In research, OpenAI announces Dactyl, a robot hand capable of solving Rubik’s cube, as part of an effort to build a general purpose robot (transferring learning from simulation to the real world), and robust to perturbations such as broken fingers or intrusions by plush giraffes. Research accepted to ICLR 2020 demonstrates the application of deep learning to symbolic mathematics. Dan Gettinger of Bard College publishes The Drone Databook, cataloging the drones from 101 countries. The Carnegie Endowment for International Peace takes a look at the origins of AI Surveillance Technology in use around the globe. The Oliver Wyman Forum measures Global Cities’ AI Readiness, and Oxford Insights updates its Government AI Readiness Index. Arthur I Miller publishes the Artist in the Machine, while Marcus du Sautoy takes a look at The Creativity Code: Art and Innovation in the Age of AI. Lex Fridman and Gary Marcus have a discussion on AI. And Alexa will soon channel the voice of Samuel L Jackson.

ai with ai: The (Creepy) Aristobots (part 2)

/our-media/podcasts/ai-with-ai/season-2/2.43b

This week, Microsoft Research and the University of Montreal show that machines can learn through interactive language by answering questions (question answering with interactive text, or QAit). The Allen Institute for AI’s Aristo system, a suite of eight solves, can pass (90%+) the New York 8th Grade regents science exams (for non-diagram, multiple-choice questions), and can exceed 83% on the 12th-grade exam, though Melanie Mitchell suggests the achievement may not be as profound as it seems. A “meta-research” paper from Milan and Klagenfurt takes a broader look at neural network research and highlights concerns of reproducibility (or lack thereof) as well as utility (or lack thereof, where simple heuristic methods can outperform the neural networks). From a workshop organized by Max Tegmark and Emilia Javorsky, a group of diverse authors produced a “possibility of a middle road” look at roadmapping a way ahead for Autonomous Weapons Systems. An opinion piece from Zachary Kallenborn on War on the Rocks looks at What If the US Military Neglects AI? A paper in Nature provides an overview of open-ended evolution, as a part of artificial life. Gary Marcus and Ernest Davis publish a book on Rebooting AI: Building AI We Can Trust. The 57th Annual Meeting of the Association for Computational Linguistics occurred at the end of July, and Kate Koidan provides a summary of the top trends. The IEEE ranks robot creepiness with the top 100 creepy robots. Booz Allen releases a documentary on the Dawn of Generation AI. And the Naval Facilities Engineering and Expeditionary Warfare Center (NAVFAC EXWC) will host an industry day conference on cyber, control systems, and machine learning in December.

ai with ai: The (Creepy) Aristobots (Part 1)

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Andy and Dave discuss the U.S. Air Force’s recently released AI strategy. NATO releases a draft report on the implications of AI for NATO forces. A report collects 2,602 uses of AI for social good. And California legislature bans facial recognition for policy body cameras. In research, OpenAI takes a multi-agent game of hide-and-seek to 11 and discovers emergent tool use as the hiders and seekers try to gain advantages. Research from the Freie Universitat Berlin samples equilibrium states of many-body systems using deep learning to speed up sampling calculations.