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CBS News deletes tweet claiming only 'like 30%' of US military aid for Ukraine ever reaches the front lines

FOX News

Fox News Flash top headlines are here. Check out what's clicking on CBS News announced changes to its upcoming Ukrainian documentary after deleting a tweet suggesting that only 30% of U.S. aid has been reaching the front lines of the war against Russia. On Friday, the news organization originally tweeted a promotion for its documentary "Arming Ukraine" which reportedly tracked the billions of dollars in U.S. aid and weaponry being sent to the country to fight Russia's invasion. The tweet revealed a claim by a nonprofit founder who reported a majority of the funding does not reach Ukrainian front lines.

Responses to Jack Clark's AI Policy Tweetstorm


Artificial intelligence guru Jack Clark has written the longest, most interesting Twitter thread on AI policy that I've ever read. After a brief initial introductory tweet on August 6, Clark went on to post an additional 79 tweets in this thread. It was a real tour de force. Because I'm currently finishing up a new book on AI governance, I decided to respond to some of his thoughts on the future of governance for artificial intelligence (AI) and machine learning (ML). Clark is a leading figure in the field of AI science and AI policy today. He is the co-founder of Anthropic, an AI safety and research company, and he previously served as the Policy Director of OpenAI. So, I take seriously what he has to say on AI governance matters and really learned a lot from his tweetstorm. But I also want to push back on a few things. Specifically, several of the issues that Clark raises about AI governance are not unique to AI per se; they are broadly applicable to many other emerging technology sectors, and even some traditional ones. Below, I will refer to this as my "general critique" of Clark's tweetstorm. On the other hand, Clark correctly points to some issues that are unique to AI/ML and which really do complicate the governance of computational systems.

Synthetic Media: How deepfakes could soon change our world


You may never have heard the term "synthetic media"-- more commonly known as "deepfakes"-- but our military, law enforcement and intelligence agencies certainly have. They are hyper-realistic video and audio recordings that use artificial intelligence and "deep" learning to create "fake" content or "deepfakes." The U.S. government has grown increasingly concerned about their potential to be used to spread disinformation and commit crimes. That's because the creators of deepfakes have the power to make people say or do anything, at least on our screens. As we first reported in October, most Americans have no idea how far the technology has come in just the last five years or the danger, disruption and opportunities that come with it.

U.S. Army Research Lab Expands Artificial Intelligence and Machine Learning … –


Palantir Technologies announced that it will expand its work with U.S Army Research Laboratory to implement data and (AI)/ (ML) capabilities.

U.S. Army Research Lab Expands Artificial Intelligence and Machine Learning Contract … – Benzinga


Palantir Technologies Inc. (NYSE:PLTR) today announced that it will expand its work with the U.S. Army Research Laboratory to implement data and …

Artificial Intelligence and future warfare


Artificial Intelligence (AI) has proved to be a path-breaking experience in many fields in the contemporary world. AI is catching the attention of defense professionals, policymakers, entrepreneurs, and multinational corporations around the globe. The pioneer of AI, John McCarthy, defines it as "the science and engineering of making intelligent machines, brilliant computer programs." The capacity of AI generally refers to the ability of machines to outperform human actions in terms of intelligence, judgment, autonomy, and knowledge discovery. AI has the potential to develop software applications based on self-learning that replicates the qualities of the human mind, resembling decision-making, problem-solving, reasoning, planning, etc.

New DARPA Project on Competency-Aware Machine Learning


UT Austin will be undertaking research on how robots can build competency models of their perception algorithms.

The Keys to AI Success: Start with the Data and Focus on the Human Resources


Federal agencies and their Federal Systems Integrator (FSI) partners are considering how to tap into artificial intelligence (AI) to advance their missions. The National Security Commission on Artificial Intelligence is calling on Federal leaders to double research and development spending on AI, to $32 billion by Fiscal Year 2026. As with any new technology, there is uncertainty on the best way to move from pilot projects in the lab to fully implemented production solutions. MeriTalk recently sat down with Bob Venero, CEO of Future Tech Enterprise, Inc., to talk about how agencies and FSI's can overcome barriers to get AI programs up and running quickly, and contribute to mission success. MeriTalk: We know Federal agencies are dipping their toes into using emerging technology including AI and machine learning (ML) to support a wide range of projects.

Submarine Warfare & Artificial Intelligence


April 2016, Sea Hunter was launched by the American Navy mentored by DARPA (Defence Advance Research Project Agency) a 40-meter unmanned and completely autonomous warship designed for the anti-submarine warfare. The entire manoeuvre and navigation of Sea Hunter was controlled by the artificial intelligence with zero-crew size onboard. After five years in April 2021 another technological miracle was designed by the MSubs for the British Naval Power. It was debuted as UUVs (Unmanned Underwater Vehicles), which is the exclusive research prototype for XLUUV (Extra Large Unmanned Underwater Vehicle). The fabrication motivation is to control XLUUV up to 3000 miles from the command centre for three-month duration.

Program Manager- AI/ML (telework options)


Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. With revenues of $125M, and a staff of more than 630, Riverside Research provides high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems. Riverside Research also supports advanced technical education and collaborates widely with university researchers. The company was formed from a respected research laboratory at Columbia University and has a current focus on technical areas including Radar systems, Optics and Photonics, Electromagnetics, Plasma physics, Geoint, Masint, Systems Engineering, and Modeling & Simulation. Riverside Research's open innovation R&D model encourages both internal and external collaboration to accelerate innovation, advance science, and expand market opportunities.