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ai with ai: Three Amecas!
/our-media/podcasts/ai-with-ai/season-5/5-6
Andy and Dave discuss the latest in AI news and research, including the signing of the 2022 National Defense Authorization Act, which contains a number of provisions related to AI and emerging technology [0:57]. The Federal Trade Commission wants to tackle data privacy concerns and algorithmic discrimination and is considering a wide range of options to do so, including new rules and guidelines [4:50]. The European Commission proposes a set of measures to regulate digital labor platforms in the EU. Engineered Arts unveils Ameca, a gray-faced humanoid robot with “natural-looking” expressions and body movements [7:07]. And DARPA launches its AMIGOS project, aimed at automatically converting training manuals and videos into augmented reality environments [13:16]. In research, scientists at the Bar-Ilan University in Israel upend conventional wisdom on neural responses by demonstrating that the duration of the resting time (post-excitation) can exceed 20 milliseconds, that the resting period is sensitive to the origin of the input signal (e.g. left versus right), and that the neuron has a sharp transition from the refractory period to full responsiveness without an intermediate stutter phase [15:30]. Researchers at Victoria University use brain cells to play Pong using electric signals and demonstrate that the cells learn much faster than current neural networks, reaching the same point living systems reach after 10 or 15 rallies, vice 5000 rallies for computer-based AIs [19:37]. MIT researchers present evidence that ML is starting to look like human cognition, comparing various aspects of how neural networks and human brains accomplish their tasks [24:34]. And OpenAI creates GLIDE
and body movements [7:07]. And DARPA launches its AMIGOS project, aimed at automatically converting training manuals and videos into augmented reality environments [13:16]. In research, scientists
ai with ai: Is it Alive or is it Xeno-rex?
/our-media/podcasts/ai-with-ai/season-5/5-5
Andy and Dave discuss the latest in AI news and research, starting with the US Department of Defense creating a new position of the Chief Digital and AI Officer, subsuming the Joint AI Center, the Defense Digital Service, and the office of the Chief Data Officer [0:32]. Member states of UNESCO adopt the first-ever global agreement on the ethics of AI, which includes recommendations on protecting data, banning social scoring and mass surveillance, helping to monitor and evaluate, and protecting the environment [3:26]. The European Digital Rights and 119 civil society organizations launch a collective call for an AI Act to articulate fundamental rights (for humans) regarding AI technology and research [6:02]. The Future of Life Institute releases Slaughterbots 2.0: “if human: kill()” ahead of the 3rd session in Geneva of the Group of Governmental Experts discussing lethal autonomous weapons systems [7:15]. In research, Xenobots 3.0, the living robots made from frog cells, demonstrate the ability to replicate themselves kinematically, at least for a couple of generations (extended to four generations by using an evolutionary algorithm to model ideal structures for replication) [12:23]. And researchers from DeepMind, Oxford, and Sydney demonstrate the ability to collaborate with machine learning algorithms to discover new results in mathematics (in knot theory and representation theory); though another researcher attempts to dampen the utility of the claims. [17:57] And finally, Dr. Mike Stumborg joins Dave and Andy to discuss research in Human-Machine Teaming, why it’s important, and where the research will be going [21:44].
of the 3rd session in Geneva of the Group of Governmental Experts discussing lethal autonomous weapons systems [7:15]. In research, Xenobots 3.0, the living robots made from frog cells, demonstrate
ai with ai: Revenge of the AWS
/our-media/podcasts/ai-with-ai/season-5/5-4
Andy and Dave discuss the latest in AI news and research, [0:53] starting with OpenAI’s announcement that it is making GPT-3 generally available through its API (though developers still require approval for production-scale applications). [3:09] For DARPA’s Gremlins program, two Gremlin Air Vehicles “validated all autonomous formation flying positions and safety features,” and one of the autonomous aircraft demonstrated airborne recovery to a C-130. [4:54] After three years, DARPA announces the winners of its Subterranean Robot Challenge, awarding prizes for teams operating in the “real-world” in virtual space. [7:03] The Defense Information Systems Agency released its Strategic Plan for 2022 through 2024, which includes plans to employ AI capabilities for defensive cyber operations. [8:08] The Department of Defense announces a new cloud initiative to replace the failed JEDI contract, with invitations to Amazon, Microsoft, Google, and Oracle to bid. [11:52] In research, DeepMind, Google Brain, and World Chess Champion Vladimir Kramnik join forces to peer into the guts of AlphaZero, with initial results showing strong evidence for the existence of “human-understandable concepts of surprising complexity” within the neural network. [17:48] Andrea Roli, Johannes Jaeger, and Stu Kauffman pen a white paper on how organisms come to know the world, and from these observations, derive fundamental limits on artificial general intelligence. [20:34] MIT Press makes available an elementary introduction to Bayesian Models of Perception and Action, by Wei Ji Ma, Konrad Paul Kording, and Daniel Goldreich. [23:40] And finally, Sam Bendett and Jeff Edmonds drop by for a chat on the latest and greatest in Russian AI and Autonomy – including an update on recent military expos and other AI-related events happening in Russia.
in the “real-world” in virtual space. [7:03] The Defense Information Systems Agency released its Strategic Plan for 2022 through 2024, which includes plans to employ AI capabilities for defensive cyber operations. [8
ai with ai: Face/Off
/our-media/podcasts/ai-with-ai/season-5/5-3
Andy and Dave discuss the latest in AI news and research, including the Defense Innovation Unit releasing Responsible AI Guidelines in Practice, which seeks to ensure tech contractors adhere to the Department of Defense’s existing ethical principles for AI [0:53]. “Meta” (the Facebook re-brand) announces that it will end its use of facial recognition software and delete data on more than a billion people, though it will retain the technology for other products in its metaverse [3:12]. Australia’s information and privacy commissioners release an order to Clearview AI to stop collecting facial biometrics from Australian citizens and to destroy all existing data [5:16]. The U.S. Marine Corps releases a Talent Management 2030 report, which describes the need for more cognitively mature Marines and seeks to “leverage the power of AI,” and to be “at the vanguard of service efforts to operationalize AI [7:39].” DOD releases at 2021 Report on Military and Security Developments Involving the People’s Republic of China, which describes China’s use of AI technology in influence operations, the digital silk road, military capabilities, and more [10:46]. A competition using unrestricted adversarial examples at the 2021 Conference on Computer Vision and Pattern Recognition includes as co-authors several members of the Army Engineering University of the People’s Liberation Army [11:43]. Research from Okinawa and Australia demonstrates that deep reinforcement learning can produce accurate quantum control, even with noisy measurements, using a small particle moving in a double-well. [14:31] MIT Press makes available a nearly 700-page book, Algorithms for Decision Making, organized around four sources of uncertainty (outcome, model, state, and interaction) [18:01]. And Dr. Amanda Kerrigan and Kevin Pollpeter join Andy and Dave to discuss their latest research in what China is doing with AI technology, including a bi-weekly newsletter on the topic, and a preliminary analysis on China’s view of Intelligent Warfare [20:06].
Marines and seeks to “leverage the power of AI,” and to be “at the vanguard of service efforts to operationalize AI [7:39].” DOD releases at 2021 Report on Military and Security Developments Involving
ai with ai: Journey to the Cause of Reason
/our-media/podcasts/ai-with-ai/season-4/4-35
Andy and Dave discuss the latest in AI news, including research from the San Diego School of Medicine, which used an AI algorithm to analyze terabytes of gene expression data in response to viral infections, identifying 20 genes that predict the severity of a patient’s response (across many different viruses). Deputy Secretary of Defense Kathleen Hicks announces a new AI and Data Acceleration initiative, which includes operational data teams and flyaway technical experts. China says it has AI fighter jet pilots that can beat human pilots in simulated dogfights. A study from Stanford estimates the density of CCTV cameras in large cities around the globe (by using computer vision algorithms on street view image data). NIST held a workshop on AI Measurement and Evaluation, with an interesting 22-page read ahead document. Appen updates its State of AI and Machine Learning report, examining various business-related views and metrics on AI, showing a general maturing of the AI market. Researchers from Tubingen and Max Planck show that the behavioral difference between human and machine vision is narrowing, but still has room for improvement (particularly with out of distribution data). Researchers from Stanford, University of College London and MIT develop a counterfactual simulation model to provide quantitative predictions on how people think about causation, possibly serving as a bridge between psychology and AI. Adam Wagner uses a reinforcement learning approach to search for examples that would disprove conjectures in graph theory, and finds examples that disprove five such conjectures. Justin Solomon’s Numerical Algorithms provides the core methods for machine learning. And Budiansky publishes a look at the life of Kurt Gödel, in Journey to the Edge of Reason.
and Evaluation at the NIST Appen’s 7 th   Edition of the “State of AI” Report Summary Report Research Partial success in closing the gap between human and machine vision
ai with ai: Donkey Pong
/our-media/podcasts/ai-with-ai/season-4/4-27
Andy and Dave discuss the latest in AI news, including the National Intelligence Council’s 7th Edition Global Trends 2040 Report, which sprinkles the importance of AI and ML throughout future trends. A BuzzFeed report claims that the NYPD has misled the public about its use of the facial recognition tool, Clearview AI, having run over 5100 searches with the tool. European Activist Groups ask the European Commission to ban facial recognition completely, with calls to protect “fundamental rights” in Europe. A report in Digital Medicine examines the diagnostic accuracy of deep learning in medical imaging studies, and calls for an immediate need to develop AI guidelines. Neuralink demonstrates the latest with its brain-computer interface device with a demonstration that shows a monkey playing Pong with his brain. And the Director of the JAIC, Lt Gen Groen, and the co-chair of the NSCAI, Bob Work, spoke for about an hour on the use and direction of AI in the Department of Defense. In research, Andrew Jones examines how different parameters scale with board games, identifying the scaling of scaling laws. Research for AIST, Tokyo Institute of Technology, and Tokyo Denki University demonstrate that they can pre-train a CNN using no natural images, but instead using digital images created using fractals. In the paper of the week, Ben Goertzel provides his general theory of general intelligence. And the fun site of the week features the 1996 game, “Creatures,” with a look into the AI that made them come alive.
National Intelligence Council Releases its 7 th   Edition of Global Trends 2040 Report Global Trends homepage Full report NYPD Has Misled the Public about Its Use of Facial Recognition
ai with ai: D.E.R.Y.L.
/our-media/podcasts/ai-with-ai/season-4/4-18
In news, Andy and Dave discuss a machine learning algorithm from Synergies Intelligent System and Universität Hamburg that can identify people in a moving crowd who are mostly likely asymptomatic carriers of COVID-19. US lawmakers have introduced the Public Health Emergency Privacy Act, to boost privacy protections for COVID-19 technology such as tracing apps and vaccine scheduling apps. A team led by researchers from Oxford have introduced new reporting guidelines to bridge a gap in development to implementation when using clinical AI technologies, dubbed DECIDE-AI. Over 30 authors from a wide swath of organizations have proposed a “living benchmark” to evaluate progress in natural language generation, which they call GEM (Generation, Evaluation, and Metrics). And the combination we saw coming, research from Queen Mary University demonstrate a deep learning framework for detection of emotion using wireless signals. Researchers at the University of Virginia claim to detect physiological responses to racial bias with 76.1% accuracy, though it more focuses on exploring any link between mental associations of skin color. In research, Stanford researchers explore how learning and evolution occur in complex environments, and how they affect the diversity of morphological forms, with DERL (Deep Evolutionary Reinforcement Learning). Researchers from University of Illinois, Urbana-Champaign, introduce GANs for editing images via their latent space, which provides greater control over editing (e.g., editing a mouth without re-generating the entire face). And in the video of the week, a 12-minute video provides a short history on DARPA with highlights on many of its military robot programs. Listener Survey
Report (28 page) Interesting "Idea Paper" of the Week AI and the Common Sense of Animals Paper (7 page) Book of the Week Embodiment and the Inner Life: Cognition
ai with ai: How Machines Judge Humans
/our-media/podcasts/ai-with-ai/season-4/4-15
In COVID-related AI news, Andy and Dave discuss research that uses NLP to predict mutations in a virus that would allow it to avoid detection by antibodies. In regular AI news, the US Food and Drug Administration publishes an Action Plan for AI and ML, with more to follow. The White House launches the National AI Initiative Office, which will work with the private sector and academia on AI initiatives. The AI Now institute has launched an effort for “A New AI Lexicon,” in which it invites contributors to provide perspectives and narratives for describing new vocabulary that adequately reflects demands and concerns related to AI technology. And the Federal Reserve is asking for comments about the use of AI/ML in banking, as it considers increasing oversight of the technologies. In research, Michal Kosinski at Stanford University publishes in Nature Reports how facial recognition technology can identify a person’s political orientation (to 72% accuracy); Andy and Dave spend some extra time discussing the challenges and implications behind such applications of facial recognition technology. Researchers at Columbia University demonstrate the ability of an AI observer to “visualize the future plans” of an actor, solely through visual information. The report of the week comes from CNAS on AI and International Stability: Risks and Confidence-Building Measures. The book of the week examines How Humans Judge Machines. And finally, a YouTube documentary from Noclip examines how machine learning plays out in Microsoft’s Flight Simulator.
” AI FDA Releases Action Plan for AI Summary 7 page action plan 20 page FDA 2019 White Paper The White House Launches the National Artificial Intelligence Initiative Office
ai with ai: Poetein Folding
/our-media/podcasts/ai-with-ai/season-4/4-10
In COVID-related AI news, Andy and Dave discuss a Facebook model that provides county-level forecasts on the spread of COVID-19. IN non-COVID AI news, DeepMind’s AlphaFold 2 won the 14th biennial Critical Assessment of Structure Prediction (CASP), scoring above 90 on a global distance test for around two-thirds of the test proteins. Partnership on AI establishes The AI Incident Database (AIID) to provide an open-access resource on failures of AI systems, currently containing over 1,000 publically available “incident reports.” CSET publishes a report on ‘”Cool Projects” or “Expanding the Efficiency of the Murderous American War Machine?”’ which examines the perspectives of US AI industry professional toward working on Department of Defense funded AI projects. The UN, in conjunction with Trend Micro Research and the European Cybercrime Centre, releases a report on Malicious Uses and Abuses of AI, which highlights the potential physical impacts of hackers on autonomous- and AI-related technologies. And LtGen Michael Groen, the new Director of the Joint AI Center, provides an overview of the JAIC’s goals and objectives. In research, NVidia, Rice University, and Caltech publish the BONGARD-LOGO benchmark set, as an expansion of the Bongard Problems, which provide free-form shape concepts to test context-dependent perception, analogy-making perception, and perception with few samples. Joshua C. Gellers provides the book of the week, examining the case for Rights for Robots. And Google AI releases Verse by Verse, which draws upon the writings of various poets to help users generate their own poems, of which Andy and Dave both share examples.
" 50-year-old grand challenge in biology Nontechnical summary Semi-technical summary DeepMind's blog discussion 7 minute video Protein Structure Prediction Center CASP #14
ai with ai: The Rosetta Drone
/our-media/podcasts/ai-with-ai/season-4/4-7
In COVID-related AI news, MIT researchers have published a machine learning algorithm that can diagnose COVID-19 by the sounds of a person’s forced cough. And the US Veterans Affairs Department rolls out a machine learning tool to predict mortality rates of COVID-19 patients. In non-COVID news, the JAIC releases the Department of Defense’s AI Education Strategy, which contains a detailed description of requirements, required instruction, and competencies. DoD also releases a new electromagnetic spectrum strategy, which contains a number of machine-learning mentions. And Tesla began making available its “full self-driving beta” to a small number of “expert and careful drivers.” Research from MIT CSAIL have created a machine learning system that can reportedly decipher “lost” languages; they built it on several principles from insights into historical linguistics, such as the observation that languages generally only evolve in certain predictable ways (such as sound substitutions). In other language news, Facebook makes available a machine learning model that can translate directly between 100 different languages (rather than using English as a go-between). Research from CalTech and Purdue creates a “Fourier neural operator” that can solve parametric partial differential equations, nearly 1000 times faster than traditional solvers. And research from the University of Waterloo looks at “less than one-“shot learning, attempting to allow an AI to learn with almost no data (and thus recognize more objectives than the number of examples trained on).
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