Search Results

Your search for found 2087 results.

ai with ai: A Mind Forever Voyaging Part 1

/our-media/podcasts/ai-with-ai/season-2/2-18

OpenAI has trained an unsupervised language model that can perform basic reading comprehension, summarize text, answer questions, and generate coherent paragraphs; as Andy and Dave discuss, the bigger news came from OpenAI's decision to release a less-capable version of the GPT-2 model, "for the good of humanity," as one news site claimed. IBM's Project Debater lost a debate with champion debater Harish Natarajan, but more of the audience said Project Debater better enriched their knowledge on the topic. Princeton and Microsoft announce NAIL, an agent for playing general interactive fiction (such as the Zork series), and consisting of multiple Decision Modules for performing various tasks. Columbia University takes a step toward reconstructing speech directly from the brain's auditory cortex, by temporarily placing electrodes in patients and having them listen to spoken numbers. DARPA announces SAIL-ON, the Science of Artificial Intelligence and Learning for Open-world Novelty, in an attempt to help AI adapt to constantly changing conditions. DARPA's Systematizing Confidence in Open Research and Evidence (SCORE) promises $7.6M to the Center for Open Science, for leading the charge on reproducibility. The Animal-AI Olympics hopes to create a survival-of-the-fittest for AI approach to the animal kingdom. Facebook releases ELF OpenGo, an open-source implementation of DeepMind's AlphaZero. Neuroscientists from Case Western Reserve discover an entirely new form of neural communication that works through electrical fields and can function over gaps in severed tissues. The Nufffield Foundation and the Leverhulme Centre for the Future of Intelligence released a report on the Ethical and Societal Implications of Algorithms, Data, and AI. Technology for Global Security and the Center for Global Security and Research join forces to understand and manage risks to international security and warfare, as posed by AI-related tech. A short review in Science looks at brain circuitry and learning, and Andy pulls DeepMind's look at Neuroscience-inspired AI paper from 2017. Research examines engineering-based design methodology for embedding ethics in autonomous robots, while another paper assesses the local interpretability of machine learning methods. Jeff Erickson releases a textbook on Algorithms; Daniel Shiffman publishes The Nature of Code; and Jason Brownlee offers up Clever Algorithms – Nature-Inspired Programming Recipes. A video from This Week in Machine Learning and AI dissects the controversy surrounding OpenAI's GPT-2 model. And finally, two websites offer up faces of fictional people.

ai with ai: Ode to the Joy of pAInting

/our-media/podcasts/ai-with-ai/season-2/2-17

Andy and Dave discuss a series of announcements: President Trump signs an Executive Order to prioritize and promote AI; the U.S. Department of Defense releases its 2019 AI Strategy; DARPA announces an Intelligent Neural Interface program focused on improving neurotechnology, and DARPA announces Guaranteeing AI Robustness against Deception (GARD), intended as an almost immune-system like approach to increase the resistance of ML models to deception; Securities and Exchange Commission filings from both Google and Microsoft disclose in “risk factors” that products with AI and ML may not work as intended, and may exacerbate a variety of problems, which could adversely affect the companies’ branding and reputation; and Uber AI releases Ludwig, an open-source deep-learning toolbox that allows users to train and test deep learning models without writing code. In research topics, DeepMind sets its sights on using ML to conquer Hanabi, a cooperative game with imperfect information, that requires a “theory of mind.” The Allen Institute for AI releases “Iconary,” a game of Pictionary with an AI partner. Research from Expedia Group uses an attentional convolution network for facial expression. IBM publishes research on a neuro-inspired “creativity” decoder. IBM Research AI and Arizona State University examine when AI bots might lie (in the context of “acceptable” social white lies). And research from Munchen demonstrates that humans are less likely to hurt or sacrifice a robot if it is more human-like. In reports, the McKinsey Global Institute examines Europe’s Gap in Digital and AI. In papers, Johns Hopkins University publishes an opinion paper on the strengths and weaknesses of deep nets for vision, and the Centre of AI in Australia and the University of Illinois at Chicago published a comprehensive survey on graph neural networks. John Brockman will be releasing a new book, Possible Minds: 25 Ways of Looking at AI. A TED Talk from Hugh Herr looks at bionics ability to extend human potential. And registration is now open for the Sackler Colloquium on the science of Deep Learning at the National Academy of Sciences.

ai with ai: Self-aware Bag of Atomic Camels

/our-media/podcasts/ai-with-ai/season-2/2-16

For research topics, Andy and Dave discuss the task-agnostic self-modeling machine from Columbia University, a robotic arm that learns to build an approximate model of itself and then interact with the world; they also discuss the over-hyped reporting of the research. A much less hyped, but possibly more groundbreaking research from MIT results in a robot that can play the tower-block game Jenga, using multisensory fusion to do so. More research from MIT attempts to synthesize probabilistic programs for automatic data modeling. Research from the University of Tubingen shows that approximating convolutional neural nets with bag-of-local-features modeling yields decent results with ImageNet. And the University of Washington and the Allen Institute for AI announce the Atlas of Machine Commonsense (ATOMIC), a collection of 877k textual descriptions of inferential knowledge, which allows more accurate inference for previously unseen events. In announcements of the week, DARPA announces the Competency-Aware Machine Learning (CAML) program for ML systems to assess their own performance; and Measuring Biological Aptitude (MBA) attempts to link genotype to phenotype in order to improve recruiting, training, and other aspects. The U.S. Navy’s Sea Hunter drone ship completes an autonomous trip from San Diego to Hawaii and back. The "Papers with Code" archive attempts to collect and link ML-related papers, code, and evaluation tables. The U.S. Army activates its AI Task Force at Carnegie Mellon. And the International Conference on Learning Representations (ICLR) 2019 has been announced for 6-9 May 2019. In media of the week, the World Intellectual Property Organization releases its report on the Technology Trends of 2019; the AMA Journal of Ethics publishes an entire (open-access) issue devoted to AI in health care; the Congressional Research Service updates its report on AI and National Security; Dan Simmons provides a hefty tome on Evolutionary Optimization Algorithms, and Julian Togelius publishes a book on Playing Smart. Wake Word is the Game of the Week, and in videos, Super Bowl ads provided a variety of glimpses into life with robots.

ai with ai: Darcraft Shadows

/our-media/podcasts/ai-with-ai/season-2/2-15

 In recent announcements, Andy and Dave discuss the National Endowment for Science, Technology, and the Arts (Nesta) launch of a project that is ‘Mapping AI Governance;’ MIT Tech Review’s survey of AI and ML research suggests that “the era of deep learning coming to an end” (or does it?); a December 2018 survey shows strong opposition to “killer robots;” China has (internally) released a report on its view of the “State of AI in China;” and DARPA wants to build conscious robots using insect brains, announcing its (mu)BRAIN Program. In research topics, Andy and Dave discuss the recent competition between DeepMInd’s AlphaStar and human professional gamers in playing Starcraft II. MIT and Microsoft have created a model that can identify instances where autonomous systems have learned from training examples that don’t match what’s happening in the real world, thus creating blind spots. Boston University publishes research that allows an ordinary camera to “see” around corners using shadow projection, in essence turning a wall into a mirror – and doing so without any AI or ML techniques. In papers and reports, the Office of the Director for National Intelligence releases its AIM Initiative – a strategy for augmenting intelligence using machines; a report provides a survey of the state of self-driving cars, and another report surveys the state of AI/ML in medicine. Game Changer takes a look at AlphaZero’s chess strategies, while The Hundred-Page Machine Learning Book offers a condensed overview of ML. The Association for the Advancement of AI conference (27 Jan – 1 Feb) begins to release videos of the conference, including an Oxford-style debate on the Future of AI. And finally, Andy and Dave conclude with a “hype teaser” for next week – with SELF AWARE robots!

ai with ai: What is AI?

/our-media/podcasts/ai-with-ai/season-2/2-14

CNA’s Center for Autonomy and Artificial Intelligence kicks off its first panel for 2019 with a live recording of AI with AI! Andy and Dave take a step back and look at the broader trends of research and announcements involving AI and machine learning, including: a summary of historical events and issues; the myths and hype, looking at expectations, buzzwords, and reality; hits and misses (and more hype!), and some of the many challenges of why AI is far from a panacea.

ai with ai: Undecidable: They Called Me Mr. GAN

/our-media/podcasts/ai-with-ai/season-2/2-13

Andy and Dave discuss Microsoft’s $1.76B five-year service deal with the Department of Defense, US Coast Guard, and the intelligence communities; the US Defense Innovation Board announces its first "public listening session" on AI principles; Finland announces an AI experiment to teach 1% of its population the basics of AI; a report from the Center for the Governance of AI and the Future of Humanity Institute reports on American attitudes and trends toward AI, and the Reuters Institute for the Study of Journalism examines UK media coverage of AI. In research news, MIT and IBM Watson AI Lab dissect a GAN to visualize and understand its inner workings, and they identify clusters of neurons that represent concepts; they also created GAN Paint, which lets a user add or subtract elements from a photo. Research from NYU and Columbia trained a single network model to perform 20 cognitive tasks, and discover this learning gives rise to the compositionality of task representations, where one task can be performed by recombining representations from other tasks. Researchers at the University of Waterloo, Princeton University, and Tel Aviv University demonstrate that a type of machine learning can be undecidable, that is, unsolvable. Jeff Huang at Brown University has compiled a list of the best papers at computer science conferences since 1996; McGill and Google Brain offer a condensed Introduction to Deep Reinforcement Learning; Nature launches the inaugural issue of Nature Machine Intelligence, and a paper explores designing neural networks through neuroevolution. Major General Mick Ryan debuts a sci-fi story “AugoStrat Awakenings;” NeurIPS 2018 makes all videos and slides available, and USNI’s Proceedings publishes an essay from CAPT Sharif Calfee on The Navy Needs an Autonomy Project Office.

ai with ai: From Russia with UAV

/our-media/podcasts/ai-with-ai/season-2/2-12

Anna Williams joins Andy and Dave as CNA’s Russia AI and Autonomy expert Sam Bendett returns to discuss the latest news and developments from Russia. Sam describes the progress that the Russian Ministry of Defense has made in implementing AI since its announcement of an AI Roadmap in March 2018, including some of the organizations involved and their advances. The group also discusses developments in the Russian civilian AI sector, as well as Russia’s intent to publish a civilian AI Roadmap by mid-year. Sam also describes some of the recent AI research and announcements (into which Andy and Dave note less visibility in English venues), and the group wraps up with a discussion on the latest developments in Russian military unmanned systems.

ai with ai: When This Savvy Slime Mold Encountered a Morphogenic Robotic Swarm, You Won't Believe What Happened Next...!

/our-media/podcasts/ai-with-ai/season-2/2-11

Andy and Dave discuss Rodney Brooks' predictions on AI from early 2018 and his (on-going) review of those predictions. The European Commission releases a report on AI and Ethics, a framework for "Trustworthy AI." DARPA announces the Knowledge-directed AI Reasoning over Schemas (KAIROS) program, aimed at understanding "complex events." The Standardized Project Gutenberg Corpus attempts to provide researchers with broader data across the project's complete data holdings. And MORS announces a special meeting on AI and Autonomy at JHU/APL in February. In research, Andy and Dave discuss work from Keio University, which shows that slime mold can approximate solutions to NP-hard problems in linear time (and differently from other known approximations). Researchers in Spain, the UK, and the Netherlands demonstrate that kilobots (small 3 cm robots) with basic communication rule-sets will self-organize. Research from UCLA and Stanford creates an AI system that mimics how humans visualize and identify objects by feeding the system many pieces of an object, called "viewlets." NVIDIA shows off its latest GAN that can generate fictional human faces that are essentially indistinguishable from real ones; further, they structure their generator to provide more control over various properties of the latent space (such as pose, hair, face shape, etc). Other research attempts to judge a paper on how good it looks. And in the "click-bait" of the week, Andy and Dave discuss an article from TechCrunch, which misrepresented bona fide (and dated) AI research from Google and Stanford. Two surveys provide overviews on different topics: one on the safety and trustworthiness of deep neural networks, and the other on mini-UAV-based remote sensing. A report from CIFAR summarizes national and regional AI strategies (minus the US and Russia). In books of the week, Miguel Herman and James Robins are working on a Causal Inference Book, and Michael Nielsen has provided a book on Neural Networks and Deep Learning. CW3 Jesse R. Crifasi provides a fictional peek into a combat scenario involving AI. And Samim Winiger has started a mini-documentary series, "LIFE," on the intersection of humans and machines.

ai with ai: Distilled Data: 200 Proofs

/our-media/podcasts/ai-with-ai/season-2/2-10

In shorter news items, Andy and Dave discuss the announcement that the Allen Institute for Artificial Intelligence is partnering with Microsoft Research to connect AI2’s Semantic Scholar academic search engine with Microsoft’s Academic Graph. The University of Pavia in Italy demonstrates an artificial neuron (a perceptron) on an actual quantum processor. Another Tesla on Autopilot has an accident, and Waymo demonstrates that pure imitation learning (with 30 million examples) is not sufficient for teaching a model to drive a car. And Tumblr implements a porn-detecting AI. In research topics, researchers with Facebook AI, MIT, and UC Berkeley demonstrate “dataset distillation,” compressing 60,000 MNIST images into 10 synthetic images. Researchers at the University of Maryland demonstrate the ability to hide adversarial attacks from network interpretation; so for networks that visually locate the item identified, that network would locate the “original” item instead of the adversarial item. Adobe and Auburn show that neural networks fail miserably for “out-of-distribution” inputs (or, “strange poses of familiar objects”), and they probe deeper into the parameters that cause the misbehavior. In other news, the AI Narratives Report explores how AI is portrayed and perceived. The AI Index releases its 2018 version. AI researchers have a spirited debate on Twitter about deep learning and symbol manipulation. Quantum Computing: Progress and Prospects provides a deeper look at this nascent technology. And Juergen Schmidhuber gives a TEDx talk on how “true AI” will change everything.

ai with ai: Eleventh Voyage into Morphospace

/our-media/podcasts/ai-with-ai/season-2/2-9

The Joint Artificial Intelligence Center is up and running, and Andy and Dave discuss some of the newer revealed details. And the rebranded NeurIPS (originally NIPS), the largest machine learning conference of the year, holds its 32nd annual conference in Montreal, Canada, with a keynote discussion on “What Bodies Think About” by Michael Levin. And a group of graduate students have create a community-driven database to provide links to tasks, data, metrics, and results on the “state of the art” for AI. In other news, one of the “best paper” awards at NeurIPS goes to Neural Ordinary Differential Equations, research from University of Toronto that replaces the nodes and connections of typical neural networks with one continuous computation of differential equations. DeepMind publishes its paper on AlphaZero, which details the announcements made last year on the ability of the neural network to play chess, shogi, and go “from scratch.” And AlphaFold from DeepMind brings machine learning methods to a protein folding competition. In reports of the week, the AI Now Institute at New York University releases a 3rd annual report on understanding social implications of AI. With a blend of technology and philosophy, Arsiwalla and co-workers break up the complex “morphospace” of consciousness into three categories: computational, autonomy, and social; and they map various examples to this space. For interactive fun of generating images with a GAN, check out the “Ganbreeder,” though maybe not before going to sleep. In videos of the week, “Earworm” tells the tale of an AI that deleted a century; and CIMON, the ISS Robot, interacts with the space crew. And finally, Russia24 joins a long history of people dressing up and pretending to be robots.