Posted in cybercrime/malcode, energy, policy | Leave a Comment on China’s Clean Energy Policy: Why China Will Push for Clean Energy Despite the Trump Administration’s Withdrawal from the Paris Agreement
IINA provides ongoing analysis of international affairs both by region—such as North America, China, and Europe—and by such topics as human security, nontraditional security threats, and cyber security. The articles on this site, written by experts at the Sasakawa Peace Foundation and guest contributors, are carefully selected for their objectivity, accuracy, timeliness, and relevance for Japan.
Posted in cybercrime/malcode, policy | Leave a Comment on 【Cooperation between European and Indo-Pacific Powers in the US alliance system project：Policy Paper Vol. 1】Maritime Security and Next-Generation Technologies
IINA provides ongoing analysis of international affairs both by region—such as North America, China, and Europe—and by such topics as human security, nontraditional security threats, and cyber security. The articles on this site, written by experts at the Sasakawa Peace Foundation and guest contributors, are carefully selected for their objectivity, accuracy, timeliness, and relevance for Japan.
IINA provides ongoing analysis of international affairs both by region—such as North America, China, and Europe—and by such topics as human security, nontraditional security threats, and cyber security. The articles on this site, written by experts at the Sasakawa Peace Foundation and guest contributors, are carefully selected for their objectivity, accuracy, timeliness, and relevance for Japan.
Science, Policy And Advocacy For Impactful And Sustainable Health Ecosystems — Dr. Catharine Young, Ph.D. — fmr. Assistant Director of Cancer Moonshot Policy and International Engagement, White House Office of Science and Technology Policy (OSTP)
Dr. Catharine Young, Ph.D. recently served as Assistant Director of Cancer Moonshot Policy and International Engagement at the White House Office of Science and Technology Policy (https://www.whitehouse.gov/ostp/) where she served at OSTP to advance the Cancer Moonshot (https://www.cancer.gov/research/key-i… with a mission to decrease the number of cancer deaths by 50% over the next 25 years.
Dr. Young’s varied career has spanned a variety of sectors including academia, non-profit, biotech, and foreign government, all with a focus on advancing science.
Dr. Young previously served as Executive Director of the SHEPHERD Foundation, where she championed rare cancer research and drove critical policy changes. Her work has also included fostering interdisciplinary collaborations and advancing the use of AI, data sharing, and clinical trial reform to accelerate cancer breakthroughs.
Dr. Young’s leadership in diplomacy and innovation includes roles such as Senior Director of Science Policy at the Biden Cancer Initiative and Senior Science and Innovation Policy Advisor at the British Embassy, where she facilitated international agreements to enhance research collaborations.
Posted in bioengineering, biotech/medical, chemistry, computing, ethics, health, law, military, neuroscience, policy | Leave a Comment on The emerging armamentarium of cognitive warfare with Dr. James Giordano | CSI Talks #19
Convergent engagement of neural and computational sciences and technologies are reciprocally enabling rapid developments in current and near-future military and intelligence operations. In this podcast, Prof. James Giordano of Georgetown University will provide an overview of how these scientific and technological fields can be — and are being — leveraged for non-kinetic and kinetic what has become known as cognitive warfare; and will describe key issues in this rapidly evolving operational domain.
James Giordano PhD, is the Pellegrino Center Professor in the Departments of Neurology and Biochemistry; Chief of the Neuroethics Studies Program; Co-director of the Project in Brain Sciences and Global Health Law and Policy; and Chair of the Subprogram in Military Medical Ethics at Georgetown University Medical Center, Washington DC. Professor Giordano is Senior Bioethicist of the Defense Medical Ethics Center, and Adjunct Professor of Psychiatry at the Uniformed Services University of Health Sciences; Distinguished Stockdale Fellow in Science, Technology, and Ethics at the United States Naval Academy; Senior Science Advisory Fellow of the SMA Branch, Joint Staff, Pentagon; Non-resident Fellow of the Simon Center for the Military Ethic at the US Military Academy, West Point; Distinguished Visiting Professor of Biomedical Sciences, Health Promotions, and Ethics at the Coburg University of Applied Sciences, Coburg, GER; Chair Emeritus of the Neuroethics Project of the IEEE Brain Initiative; and serves as Director of the Institute for Biodefense Research, a federally funded Washington DC think tank dedicated to addressing emerging issues at the intersection of science, technology and national defense. He previously served as Donovan Group Senior Fellow, US Special Operations Command; member of the Neuroethics, Legal, and Social Issues Advisory Panel of the Defense Advanced Research Projects Agency (DARPA); and Task Leader of the Working Group on Dual-Use of the EU-Human Brain Project. Prof. Giordano is the author of over 350 peer-reviewed publications, 9 books and 50governmental reports on science, technology, and biosecurity, and is an elected member of the European Academy of Science and Arts, a Fellow of the Royal Society of Medicine (UK), and a Fulbright Professorial Fellow. A former US Naval officer, he was winged as an aerospace physiologist, and served with the US Navy and Marine Corps.
Reinforcement learning (RL) has become central to advancing Large Language Models (LLMs), empowering them with improved reasoning capabilities necessary for complex tasks. However, the research community faces considerable challenges in reproducing state-of-the-art RL techniques due to incomplete disclosure of key training details by major industry players. This opacity has limited the progress of broader scientific efforts and collaborative research.
Researchers from ByteDance, Tsinghua University, and the University of Hong Kong recently introduced DAPO (Dynamic Sampling Policy Optimization), an open-source large-scale reinforcement learning system designed for enhancing the reasoning abilities of Large Language Models. The DAPO system seeks to bridge the gap in reproducibility by openly sharing all algorithmic details, training procedures, and datasets. Built upon the verl framework, DAPO includes training codes and a thoroughly prepared dataset called DAPO-Math-17K, specifically designed for mathematical reasoning tasks.
DAPO’s technical foundation includes four core innovations aimed at resolving key challenges in reinforcement learning. The first, “Clip-Higher,” addresses the issue of entropy collapse, a situation where models prematurely settle into limited exploration patterns. By carefully managing the clipping ratio in policy updates, this technique encourages greater diversity in model outputs. “Dynamic Sampling” counters inefficiencies in training by dynamically filtering samples based on their usefulness, thus ensuring a more consistent gradient signal. The “Token-level Policy Gradient Loss” offers a refined loss calculation method, emphasizing token-level rather than sample-level adjustments to better accommodate varying lengths of reasoning sequences. Lastly, “Overlong Reward Shaping” introduces a controlled penalty for excessively long responses, gently guiding models toward concise and efficient reasoning.
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In anticipation for my next public lecture, the organizer requested the title of my lecture. I suggested: “Hunting for Aliens.” The organizer expressed concern that some members of the audience might confuse me for a U.S. government employee in search of illegal aliens near the southern border wall. I explained that no two-dimensional wall erected on Earth would protect us from extraterrestrials because they will arrive from above. It is just a matter of time until we notice interstellar travelers arriving without a proper visa. A policy of deporting them back to their home exoplanet will be expensive — over a billion dollars per flight. The trip will also take a long time — over a billion years with conventional chemical propulsion. We will have to learn how to live with these aliens, and promote diversity and inclusion in a Galactic context.
The Sun formed in the last third of cosmic history, so we are relatively late to the party of interstellar travelers. Experienced travelers might have been engaged in their interstellar journeys for billions of years. To properly interpret their recorded diaries and photo albums in terms of the specific stars they visited, we would need to accurately interpret their time measurements.
Imagine an interstellar tourist wearing a mechanical analog watch. Such a timepiece is at best accurate to within 3 seconds per day, or equivalently 30,000 years per billion years. This timing error is comparable to the amount of time it takes to hop from one star to another with chemical propulsion. Interstellar travelers must wear better clocks in order to have a reliable record of time.
Regular use of math and reading skills could prevent cognitive decline with age, according to a new Science Advances study.
Cognitive skills of the population such as literacy and numeracy are important not only for individual incomes but also for the economic growth of nations (2–6). As a result, the aging of world populations presents an economic concern if the commonly assumed declines of these skills with age hold.
We use longitudinal variation in individual literacy and numeracy skills for a representative adult sample to create age-skill profiles that credibly separate age from cohort effects. The pure age component that we derive provides a different perspective on the impacts of aging populations. Overall, our results are not consistent with a view that a natural law dictates an inevitable decline in these skills with age. Potential cognitive declines only occur at later ages and are not inevitable with usage of skills.
This is consolation for countries with aging populations, but avoidance of skill losses is not automatic and appears related to stimulation from skill usage. These results thus suggest that age-skill relationships of adults deserve policy attention, consistent with concerns about the necessity of lifelong learning.
Cow D lived on a dairy farm in New Zealand. The animal looked like the typical black-and-white cow farmers raise for milk, except for one thing: Researchers had outfitted Cow D with an artificial fistula—a hole offering them a way to reach the microbes inhabiting the animal’s bathtub-size stomach. But it’s what happened next that offers a porthole into the global debate over the use of genetic data.
In the spring of 2009, Samantha Noel, then a doctoral researcher at Massey University in Palmerston North, New Zealand, reached into Cow D’s rumen and plucked out a strain of Lachnospiraceae bacterium, later dubbed ND2006. Another team of geneticists sequenced the microbe’s complete set of genes, or genome, and uploaded the information, which was then shared with GenBank, a public database run by the US National Institutes of Health. If genes are the book of life, then this process was like adding a digital copy to an online library. In policy circles, these lines of code go by another name: digital sequence information, or DSI.
