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ai with ai: Oura-boros

/our-media/podcasts/ai-with-ai/season-3/3-33

In COVID-related AI news, Andy and Dave discuss an announcement from WVU Rockefeller Neuroscience Institute, WVU Medicine, and Oura Health, with the ability to predict COVID-19 related symptoms up to three days in advance via biometric monitoring. Japan's M3 is teaming with Alibaba's AI Tech to provide CT-scan capability to hospitals that can identify COVID-related pneumonia. The Pentagon taps into the virus-relief CARES Act to use AI for virus cure and vaccine efforts. Rockefeller announces efforts to use GPT-2 to automatically summarize COVID-19 medical research articles, but the results aren’t that great. In regular AI news, IBM announces it is no longer offering general-purpose facial recognition or analysis software, due to concerns about the technology being used to promote racism. And in a related announcement, Amazon places a one-year moratorium on allowing law enforcement to use its Rekognition facial recognition platform. USSOCOM has posted an RFI for potential contractors to provide its Global Analytics Platform, a $300-600M contract that would follow its previous eMAPS contract. And NASA launches its Entrepreneurs Challenge, seeking new ideas for space exploration. In research, from the University of Pennsylvania, UC Berkeley, Google Brain, University of Toronto, Carnegie Mellon University, and Facebook AI, comes a different approach to defining intrinsic motivation for taskless problems, wherein agents seek out future inputs that are expected to be novel. The report of the week comes from the Stanley Center for Peace and Security, with a look at The Militarization of AI. Researchers at Beijing Academy and Cambridge University come together to pen a white paper calling for "cross-cultural cooperation" on AI ethics and governance. Efron, Hastie, and Cambridge University Press provide Computer Age Statistical Inference for free. And DeepMind and the UCL Centre for AI are producing a Deep Learning Lecture Series.

" Amazon bans police from using its facial recognition technology for one year Story Amazon's announcment SOCOM Seeks Upgrades in Recompete of Largest-Ever AI Contract Request

ai with ai: Pork Rewinds

/our-media/podcasts/ai-with-ai/season-4/4-r

Just in time for the holidays, Andy and Dave look back and some of the more memorial AI-related stories from 2020. They begin with the passing of mathematician John Conway, creator of The Game of Life, who died in April at 82 from complications due to COVID-19; Andy and Dave will talk more about The Game of Life in next week’s podcast. With an example of how not to use AI, in July, the International Baccalaureate Educational Foundation turned to machine learning algorithms to predict student grades, due to COVID-related cancelations of actual testing, much to the frustration of numerous students and parents. Also in July, over 1400 mathematicians signed and delivered a letter to the American Mathematical Society, urging researchers to stop working on predictive-policing algorithms. In September, Elon Musk demonstrated the latest iteration of Neuralink, complete with pig implantees. And finally, Andy and Dave examine the GPT family algorithms with a discussion on GPT-2 and GPT-3.

) Letter to AMS Notices: Boycott collaboration with police Story Letter to AMS Notices List of signatories Review of PrePol's use by LAPD Neuralink demonstrates its

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.

  |   Microsoft Academic Graph An Artificial Neuron Implemented on an Actual Quantum Processor Tesla On Autopilot Slams into Police Car News of Tesla crash 60 Minutes interview with Musk

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

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

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.

legislature bars facial recognition for police body cameras     Research Emergent Tool Use from Multi-Agent Interaction Nontechnical summary Technical paper Video demos Environment code

cna talks: Domestic Terrorism in the United States

/our-media/podcasts/cna-talks/2018/cna-talks-domestic-terrorism-in-the-united-states

In the wake of the recent mailed pipe bombs and Pittsburgh synagogue mass shooting, CNA experts Bill Rosenau and Dawn Thomas discuss the historical context of domestic terrorism in America and the rise of the “lone wolf” and violent right-wing extremism over recent decades. They distinguish domestic terrorism from hate crimes and examine societal perceptions of the severity of each. They also review prevention and law enforcement responses to hate crimes and domestic terrorism. Rosenau notes that while terrorism is perceived as the more critical threat, Americans are more likely to be a victim of a hate crime. They also point out that if current systems have been unable to predict and identify perpetrators in recent years, it suggests the traditional risk factors may be outdated while modern technology and prediction tools are underutilized. Thomas questions why Americans are increasingly susceptible to malign influence, and Rosenau emphasizes the need for more academic study on domestic terrorism, as it poses a greater threat to American civilians than foreign terrorism.

Bill Rosenau   is an expert on United States and international military advisory roles and missions, international police training, terrorist innovation and political warfare. He is a Senior Policy

ai with ai: Driverless Vehicles, Digital Yeast, and Montezuma’s Revenge

/our-media/podcasts/ai-with-ai/season-1/1-23

With the news of the first death at the digital hands of a driverless vehicle, Andy and Dave discuss some of the broader issues surrounding the understanding and implementation of AI technology. In other news, they discuss the creation of a digital version of yeast (DCell) as a way to provide insight into the otherwise “black box” of AI. Then, after describing DeepMind’s efforts into using evolutionary Auto Machine Learning to discover neural network architectures, Andy and Dave discuss an example of how background knowledge (“priors”) transfers to the world of games, and how that compares with AI.

)   Woman's death pushes self-driving much further away (March 20)   Police chief: Uber self-driving car “likely” not at fault in fatal crash (March 21):   Uber Self-Driving Car Fatality

ai with ai: Super-AI Reveals Answer to Everything: IDK, LUL

/our-media/podcasts/ai-with-ai/season-1/1-31

In a review of the latest news, Andy and Dave discuss: the White House’s “plan” for AI, the departure of employees from Google due to Project Maven, another Tesla crash, the first AI degree for undergraduates at CMU, and Boston Dynamics’ jumping and climbing robots. Next, two AI research topics have implications for neuroscience. First, Andy and Dave discuss AI research at DeepMind, which showed that an AI trained to navigate between two points developed “grid cells,” very similar to those found in the mammalian brain. And second, another finding from DeepMind on “meta-learning” suggests that dopamine in the human brain may have a more integral role in meta-learning than previously thought. In another example of “AI-chemy,” Andy and Dave discuss the looming problem of (lack of) explainability in health care (with implications for many other areas, such as DoD), and they also discuss some recent research on adding an option for an AI to defer a decision with “I Don’t Know” (IDK). After a quick romp through the halls of AI-generated DOOM, the two discuss a recent proof that reveals the fundamental limits of scientific knowledge (so much for super-AIs). And finally, they close with a few media recommendations, including “The Book of Why: The New Science of Cause and Effect.”

14) Tesla Model S crashed into a fire department truck in Utah:   Police probe whether Autopilot feature was on in Tesla crash (May 10) “The White House’s plan for AI is to not have a plan for AI

ai with ai: Detective Centaur and the Curse of Footstep Awareness

/our-media/podcasts/ai-with-ai/season-1/1-33

Andy and Dave didn’t have time to do a short podcast this week, so they did a long one instead. In breaking news, they discuss the establishment of the Joint Artificial Intelligence Center (JAIC), yet another-Tesla autopilot crash, Geurts defending the decision to dissolve the Navy’s Unmanned Systems Office, and Germany published a paper that describes its stance on autonomy in weapon systems. Then, Andy and Dave discuss DeepMind’s approach to using YouTube videos to train an AI to learn “hard exploration games” (with sparse rewards). In another “centaur” example, facial recognition experts form best when combined with an AI. University of Manchester researchers announce a new footstep-recognition AI system, but Dave pulls a Linus and has a fit of “footstep awareness.” In other recent reports, Andy and Dave discuss another example of biomimicry, where researchers at ETH Zurich have modeled the schooling behavior of fish. And in brain-computer interface research, a noninvasive BCI system co-trained with tetraplegics to control avatars in a racing game. Finally, they round out the discussion with a mention of ZAC Inc and its purported general AI, a book on How People and Machines are Smarter Together, and a video on deep reinforcement learning.

) established Pentagon, Intel Agencies Set Up New AI Joint Office Algorithmic Warfare: Pentagon Eyeing AI Center for Tech Development (May 29)   Tesla that crashed into police car

cna talks: Strategies for Policing Innovation

/our-media/podcasts/cna-talks/2019/7/strategies-for-policing-innovation

Street robberies, substance abuse, repeat violent offenders and gun violence are the realities faced by police every day in communities throughout America. However, strategies and innovations honed over the past decade and grounded in the use of research and technology have helped police departments dramatically improve outcomes for the communities they serve. On this episode of CNA Talks Chris Sun and Chip Coldren, discuss CNA’s Strategies for Policing Innovation Initiative.

Strategies for Policing Innovation Street robberies, substance abuse, repeat violent offenders and gun violence are the realities faced by police every day in communities throughout America. However, strategies and innovations honed over the past decade and grounded in the use of research and technology have helped police departments dramatically improve outcomes for the communities they serve ...   is the managing director of CNA's Justice Group. He has worked alongside the U.S. Department of Justice and many police departments across the country to study community policing, improve police-community

cna talks: Victim Centered Policing

/our-media/podcasts/cna-talks/2024/09/victim-centered-policing

Experts discuss victim-centered policing. How can it lead to better outcomes for crime victims and investigators, and how police departments can implement the practice.

Victim Centered Policing Experts discuss victim-centered policing. How can it lead to better outcomes for crime victims and investigators, and how police departments can implement the practice. Victim Centered Policing Guest Biographies Nicole Carroll is the Director of the Victim Services Unit at the Louisville Metro Police Department, where she ensures the rights and needs of crime victims and witnesses are met through quality programs and services, exercising supervision of subordinate personnel, and overseeing advocacy and service provision for victims involved in the criminal