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China’s Global Public Opinion War with the United States and the West

/our-media/indepth/2024/08/chinas-global-public-opinion-war

China’s global propaganda is covert and overt, digital and analog. Developing informed policy responses requires studying the totality of Beijing’s propaganda.

social media tactics. The third is an overreliance on digital tools and big data analytics to understand Beijing’s behavior. Although important, these narrowly focused — or “siloed” — examinations

Sources for Police Use of Force Data

/our-media/indepth/2022/07/sources-for-police-use-of-force-data

Daniel S. Lawrence and Hannah McLaurin provide a variety of resources to help analysts and policymakers find data on police use of force.

Sources for Police Use of Force Data Daniel S. Lawrence and Hannah McLaurin provide a variety of resources to help analysts and policymakers find data on police use of force. /images/InDepth/Cop%20in%20Mask%20resized.jpg Sources for Police Use of Force Data Daniel S. Lawrence & Hannah McLaurin Daniel Lawrence is a Research Scientist Center for CNA’s Justice Research and Innovation. Hannah McLaurin is a CNA System Engineer for CNA's Center for Data Management and Analytics . Recent social movements for police reform have highlighted the lack of data collected or publicly available

ai with ai: Slightly Unconscionable

/our-media/podcasts/ai-with-ai/season-5/5-10

Andy and Dave discuss the latest in AI news and research, including a GAO report on AI – Status of Developing and Acquiring Capabilities for Weapon Systems [1:01]. The U.S. Army has awarded a contract for the demonstration of an offensive drone swarm capability (the HIVE small Unmanned Aircraft System), seemingly similar but distinct from DARPA’s OFFSET demo [4:11]. A ‘pitch deck’ from Clearview AI reveals their intent to expand beyond law enforcement and aiming to have 100B facial photos in its database within a year [5:51]. Tortoise Media releases a global AI index that benchmarks nations based on their level of investment, innovation, and implementation of AI [7:57]. Research from UC Berkeley and the University of Lancaster shows that humans can no longer distinguish between real and fake (generated by GANs) faces [10:30]. MIT, Aberdeen, and the Centre of Governance of AI look at trends of computation in machine learning, identifying three eras and trends, including a ‘large-scale model’ trend where large corporations use massive training runs [13:37]. A tweet from the chief scientist at OpenAI, speculating on the ‘slightly conscious’ attribute of today’s large neural networks, sparks much discussion [17:23]. While a white paper in the International Journal of Astrobiology examines what intelligence might look like at the planetary level, placing Earth as an immature Technosphere [19:04]. And Kush Varchney at IBM publishes for open access a book on Trustworthy Machine Learning, examining issues of trust, safety, and much more [21:29]. Finally, CNA Russia Studies Program member Sam Bendett returns for a quick update on autonomy and AI in the Ukraine-Russia conflict [23:30].

Technical paper Compute trends across three eras of machine learning Database of milestone ML models Visualization of Parameter, Compute and Data Trends in Machine Learning ... enthusiasts sign up to repel Russian forces Analytics Insight: AI-related companies and their reactions Nando de Freitas’s Tweet on “AI community’s role” Small Drones

ai with ai: AI with AI: Montezuma’s Regulation

/our-media/podcasts/ai-with-ai/season-2/2-8

This week, Andy and Dave discuss the US Department of Commerce’s announcement to consider regulating AI as an export; counter to that idea, Amazon makes freely available 45+ hours of training materials on machine learning, with tailored learning paths; Oren Etzioni proposes ideas for broader regulation of AI research, that attempts to balance the benefits with the potential harms; DARPA tests its CODE program for autonomous drone operations in the presence of GPS and communications jamming; a Chinese researcher announces the use of CRISPR to produce the first gene-edited babies; and the 2018 ACM Gordon Bell Prize goes to Lawrence Berkeley National Lab for achieving the first exa-scale (10^18) application, running on over 27,000 NVIDIA GPUs. Uber’s OpenAI announces advances in exploration and curiosity of an algorithm that help it “win” Montezuma’s Revenge. Research from Facebook AI suggests that pre-training convolutional neural nets may provide fewer benefits over random initialization than previously thought. Google Brain examines how well ImageNet architectures transfer to other tasks. A paper from INDOPACOM describes the exploitation of big data for special operations forces. And Yuxi Li publishes a technical paper on deep reinforcement learning. And a recent paper explores self-organized criticality as a fundamental property of neural systems. Christopher Bishop’s Pattern Recognition and Machine Learning are available online, and the Architects of Intelligence provides one-on-one conversations with 23 AI researchers. Maxim Pozdorovkin releases “The Truth About Killer Robots” on HBO, and finally, a Financial Times article over-hypes (anti-hypes?) a questionable graph on Chinese AI investments.

initialization than previously thought. Google Brain examines how well ImageNet architectures transfer to other tasks. A paper from INDOPACOM describes the exploitation of big data for special operations ... babies 2018 ACM Gordon Bell Prize goes to “Exa-Scale Deep Learning for Climate Analytics" Topics Montezuma’s Revenge Solved by   Go-Explore   |   Video Rethinking ImageNet Pre-training Do Better ImageNet Models Transfer Better? Things of the Week Report of the Week   -   Exploitation of Big Data for Special Operations Forces Technical Paper of the Week -   Deep

cna talks: A New Tool to Protect First Responders

/our-media/podcasts/cna-talks/2024/01/a-new-tool-to-protect-first-responders

As cities across the country become more networked and connected with smart sensors, more data is available to first responders than ever before. But how can this data be interpreted efficiently in emergencies where every second counts? In this episode, John Crissman and Shaelynn Hales from CNA and Godfrey Nolan, founder and CEO of RIIS LLC, join the show. We discuss their award-winning First Responder Awareness Monitoring during Emergencies (FRAME) System, which takes in data from these sensors, uses machine learning to interpret the information, and aggregates that into a common data view to increase emergency situational awareness.

  is the Managing Director of CNA’s Center for Data Management Analytics. She is an expert in systems engineering, data management, data analytics, and integrated program management support. John Crissman   is a Research Analyst in CNA’s Center for Data Management Analytics. He is an expert in artificial intelligence (AI), machine learning (ML), and natural language processing. Godfrey Nolan ... A New Tool to Protect First Responders As cities across the country become more networked and connected with smart sensors, more data is available to first responders than ever before. But how can

cna talks: Moving at the Speed of Innovation — Regulating Package Delivery Drones

/our-media/podcasts/cna-talks/2023/08/moving-at-the-speed-of-innovation---regulating-package-delivery-drones

Companies, including Amazon, UPS, and Domino's are all investing in package delivery drones. These systems represent a significant paradigm shift from the current air traffic control model. With the private sector moving at the speed of innovation, the government will need new tools to regulate this new airspace. In this episode, we discuss CNA’s new agent-based model, UAS Cooperative Airspace Traffic Simulation (UCATS™), and how it can help the FAA and local stakeholders fairly regulate package delivery drone operations.

operations. Moving at the Speed of Innovation — Regulating Package Delivery Drones Guest Biographies  Rebekah Yang   is Systems Engineer with CNA’s Center for Data Management Analytics and the lead engineer on this model. She is an artificial intelligence and machine learning expert for the Federal Aviation Administration's Office of NextGen and a data visualization and modeling specialist

cna talks: Exploring Drones as Tools for Public Safety

/our-media/podcasts/cna-talks/2023/04/exploring-drones-as-tools-for-public-safety

Drones have become a ubiquitous part of our society, used by everyday people for fun or as part of their business. The potential of these tools seems limitless, but one area that is less discussed is how they can be used by first responders and emergency managers to help keep the public safe. In this episode Addam Jordan and Marina Rozenblat join John Stimpson. They discuss how jurisdictions can successfully implement drones into their public safety and emergency response plans.

Marina Chumakov Rozenblat is the Chief Scientist for CNA’s Center for Data Management and Analytics . She is an expert in data management, cybersecurity, uncrewed aircraft systems, and aviation

cna talks: Tackling Challenges in the Industrial Base

/our-media/podcasts/cna-talks/2025/02/tackling-challenges-in-the-industrial-base

Experts from across CNA join the show to discuss their research, which aims to bridge the gap between the US government and the industrial base.

Incident Analysis. She is an expert in large-scale incident planning and response. April Cho is a research scientist in CNA’s Data Science Predictive Analytics Program . She has worked on various

cna talks: Russia's Shifting Nuclear Doctrine

/our-media/podcasts/cna-talks/2024/10/russias-shifting-nuclear-doctrine

This episode examines the views of three stakeholder communities within Moscow’s interconnected nuclear ecosystem and how they view Russia’s nuclear doctrine.  * A previous version of this episode incorrectly stated that Russia's Security Council changed its nuclear doctrine during a September 25 meeting. The correct telling is that Russian President Vladimir Putin soft-launched proposed changes to the doctrine during this meeting. At this time, Russia has made no official changes to its nuclear doctrine. 

and economic activity, improved engagement with allies and partners, and data analytics. Further Reading CNA Report: Moscow Doesn’t Believe in Tears CNA Talks:  Nuclear Policy After the War

cna talks: How Special Operations Forces Can Help Address IUU Fishing

/our-media/podcasts/cna-talks/2023/10/how-special-operations-forces-can-help-address-iuu-fishing

The People's Republic of China is the most significant contributor to the global problem of illegal, unreported, and unregulated fishing. Its distant water fishing fleet is the largest in the world and operates everywhere, from the Pacific Island Countries to the Atlantic Coast of Africa. In this episode, Heidi Holz and Cornell Overfield join John Stimpson to discuss how US Special Operations Forces can help counter the problem of Illegal, Unreported, and Unregulated fishing by serving as a global connector for this issue.   

with allies and partners, and data analytics. Related Materials CNA:   Implications of Illegal, Unreported, and Unregulated Fishing for US Special Operations Forces  CNA:   Exposing the Gap