These principles align closely with ongoing Trump Administration efforts to advance trustworthy AI technologies. Last year, President Trump launched the American AI Initiative, the U.S. national strategy for leadership in artificial intelligence, which promotes innovative uses of AI while protecting civil liberties, privacy and American values.
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Splenda has been on the US market since 1999, and Gelov reportedly uses three to eight packets daily in his coffee and tea.
I reached out to Heartland and they sent me an eight-page document consisting of over 50 statements, summaries, and clinical trials supporting the safety of artificial sweeteners, including sucralose, an ingredient in Splenda. In 2016, Gelov rebutted claims that sucralose was linked to cancer in Swiss male mice. These "dramatized headlines are based on one flawed study by an isolated Italian research laboratory, the Ramazzini Institute," Gelov wrote.
Perhaps the most concerning scientific data suggesting a link between artificial sweetener use and ill health is a Cleveland Clinic study showing an association between higher blood levels of erythritol and adverse cardiovascular outcomes such as heart attack, stroke, or death. The researchers also found that erythritol, which is found in stevia and some keto food products, made platelet activation and clot formation easier.
The main conclusion I've drawn on the topic of artificial sweeteners is that a lot of resources were wasted in performing underpowered, poorly designed trials on compounds that are already generally regarded as safe (GRAS) by the FDA. The WHO "conditional guideline" is, by its own description, based on a plethora of "low certainty" to "very low certainty" evidence.
Strategic competitors, such as China and Russia, are making significant investments in AI for national security purposes. Likewise, DOD is investing billions of dollars to develop and integrate AI into defense systems. The types of AI that DOD uses range from automating simple business tasks (such as processing financial data) and predicting mechanical failures in weapons platforms to performing complex analysis to support its warfighting mission.
Additional investments. DOD increased investments in recent years, reflecting the growing importance of AI. For example, the latest budget request included $130.1 billion for research and development in recognition of the need to sharpen our readiness in advanced technology including artificial intelligence.
4.2. Ensuring Safe and Reliable AI. (a) Within 90 days of the date of this order, to ensure and verify the continuous availability of safe, reliable, and effective AI in accordance with the Defense Production Act, as amended, 50 U.S.C. 4501 et seq., including for the national defense and the protection of critical infrastructure, the Secretary of Commerce shall require:
(iii) As set forth in subsection 4.3(b)(i) of this section, within 270 days of the date of this order, the Secretary of Defense and the Secretary of Homeland Security shall each provide a report to the Assistant to the President for National Security Affairs on the results of actions taken pursuant to the plans and operational pilot projects required by subsection 4.3(b)(ii) of this section, including a description of any vulnerabilities found and fixed through the development and deployment of AI capabilities and any lessons learned on how to identify, develop, test, evaluate, and deploy AI capabilities effectively for cyber defense.
(h) Within 180 days of the date of this order, to address gaps in AI talent for national defense, the Secretary of Defense shall submit a report to the President through the Assistant to the President for
National Security Affairs that includes:
The 2019 National Defense Authorization Act mandated a study on artificial intelligence (AI) topics. In this report, RAND Corporation researchers assess the state of AI relevant to the U.S. Department of Defense (DoD), and address misconceptions about AI; they carry out an independent and introspective assessment of the Department of Defense's posture for AI; and they share a set of recommendations for internal actions, external engagements, and potential legislative or regulatory actions to enhance the Department of Defense's posture in AI.
This research was sponsored by the DoD Joint Artificial Intelligence Center (JAIC) and was conducted within the Acquisition and Technology Policy Center of the RAND National Defense Research Institute, a federally funded research and development center sponsored by the Office of the Secretary of Defense, the Joint Staff, the Unified Combatant Commands, the Navy, the Marine Corps, the defense agencies, and the defense Intelligence Community.
WASHINGTON: The Pentagon has created a new Joint Artificial Intelligence Center (JAIC) that will have oversight over almost all service and defense agency AI efforts. This coordination function is crucial to the emerging AI arms race with Russia and China, experts told us.
Topics: acquisition, artificial intelligence, big data, Bob Work, chief information officer, China, CNA, CNAS, cybersecurity, Dana Deasy, DoD CIO, Elsa Kania, Era technopolis, Google, JAIC, Joint Artificial Intelligence Center, Larry Lewis, machine learning, Michael Griffin, Patrick Shanahan, Project Maven, research and development, robert work, Russia, Russian Ministry of Defense, Samuel Bendett googletag.cmd.push(function () { googletag.display("div-id-for-below-post-slideshow"); });Sign up to receive our Defense Networks & Cyber Weekly Briefing.We will never sell or share your information without your consent. See our privacy policy. googletag.cmd.push(function() {googletag.display( "div-id-for-top-300x250" );}); SpaceDiscover what industry experts are saying about military satellites today SpaceDiscover what industry experts are saying about military satellites todaySpaceDiscover what industry experts are saying about military satellites todayCheck out our latest eBook collection to learn how US Space Force aims to expand.
Our Duties. 1) To consider the methods and means necessary to advance the development of artificial intelligence, machine learning, and associated technologies to comprehensively address the national security and defense needs of the United States. 2) Submit to the President and Congress reports on the findings of the Commission and such recommendations that the Commission may have for action by the executive branch and Congress related to artificial intelligence, machine learning, and associated technologies, including recommendations to more effectively organize the Federal Government.
USNS VANDENBERG in 2015 was reefed by the Maritime Administration on May 27, 2009 and is the second-largest artificial reef in the world. Photo courtesy National Oceanic and Atmospheric Administration
Similar to our Ship Donation Program, MARAD does not target or set aside NDRF vessels for reefing. Organizations must apply to receive a specific vessels for artificial reefing. Not all ships are good reefing candidates. Applicants must work closely with MARAD to select a ship appropriate for the specific reefing project. Organizations must submit the application through the artificial reefing coordinator representing the state, U.S. territories, or organization in which the vessel will be reefed. Foreign artificial reefing applications must be submitted by the cognizant government authority for artificial reefing actions.
Military leaders are just beginning to talk about the potential for artificial intelligence, largely as a way to augment overburdened troops. In October, Gen. David Goldfein, the Air Force chief of staff, laid out a vision for teaming airmen with machines, particularly for maintenance and logistics functions.
The establishment of the CoE-AIML at Howard University will serve the critical need to increase representation of African-Americans and other minority groups in STEM research that is deemed critical to national defense. The CoE-AIML will cultivate early-career talent and junior researchers from underrepresented minority groups through mentorship programs focused on ML algorithms and AI systems.
The X-62A Variable Stability In-Flight Simulator Test Aircraft, or VISTA, flies over Palmdale, Calif., Aug. 26, 2022. A joint Department of Defense team executed 12 artificial intelligence, or AI, flight tests in which AI agents piloted the X-62A VISTA to perform advanced fighter maneuvers at Edwards Air Force Base, Calif., Dec. 1-16, 2022. (U.S. Air Force photo / Kyle Brasier)
A joint Department of Defense team executed 12 flight tests in which artificial intelligence, or AI, agents piloted the X-62A Variable Stability In-Flight Simulator Test Aircraft, or VISTA, to perform advanced fighter maneuvers at Edwards Air Force Base, Calif., Dec. 1-16, 2022. Supporting organizations included the U.S. Air Force Test Center, the Air Force Research Laboratory, or AFRL, and Defense Advanced Research Projects Agency, or DARPA.
On December 27, 2021, President Biden signed the National Defense Authorization Act (NDAA) for Fiscal Year 2022 into law. The NDAA is an annual bill that Congress passes specifying the budget, expenditures, and policies of the U.S. Department of Defense (DOD). Similar to previous NDAAs, the 2022 version contains a number of provisions directly relevant to artificial intelligence (AI). We identified and described the provisions related to AI and other activities or technologies that could impact U.S. advancement of AI in this 2,165-page bill.
This provision requires the secretary of defense to establish a national network for microelectronics research and development. The network will include two or more entities, which the secretary will select, to facilitate cost-effective discovery of new materials, devices, and architectures to safeguard domestic intellectual property. The network will also accelerate the transition of new technologies to domestic microelectronics manufacturers. be457b7860
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