Fox News chief political anchor Bret Baier has the latest on the pros and cons of the bombshell developments on'Special Report.' It is said that predicting the future isn't magic. If that's the case, perhaps we should ask AI when Congress might pass a bill to regulate the emerging technology – before it spirals out of control. There's a push by Congressional leaders to approve a bill regulating AI when lawmakers return to Washington after the election. But the path to passage - and developing a consensus on establishing guardrails for AI - is far from certain.

Arman Rahmim Departments of Radiology and Physics, University of British Columbia Tyler J. Bradshaw Department of Radiology, University of Wisconsin Guido Davidzon Department of Radiology, Division of Nuclear Medicine & Molecular Imaging, Stanford University Joyita Dutta Department of Biomedical Engineering, University of Massachusetts Amherst Georges El Fakhri PET Center, Departments of Radiology & Biomedical Engineering and Bioinformatics & Data Science, Yale University Munir Ghesani United Theranostics Nicolas A. Karakatsanis Department of Radiology, Weill Cornell Medical College of Cornell University, New York Quanzheng Li Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital, Harvard Medical School Chi Liu Department of Radiology and Biomedical Imaging, Yale University Emilie Roncali Departments of Biomedical Engineering and Radiology, University of California, Davis Babak Saboury Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health Tahir Yusufaly Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine Abhinav K. Jha Department of Biomedical Engineering and Mallinckrodt Institute of Radiology, Washington University, St. Louis Abstract The 2nd SNMMI Artificial Intelligence (AI) Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD, on February 29 - March 1, 2024. Bringing together various community members and stakeholders, and following up on a prior successful 2022 AI Summit, the summit theme was "AI in Action". Six key topics included (i) an overview of prior and ongoing efforts by the AI task force, (ii) emerging needs and tools for computational nuclear oncology, (iii) new frontiers in large language and generative models, (iv) defining the value proposition for the use of AI in nuclear medicine, (v) open science including efforts for data and model repositories, and (vi) issues of reimbursement and funding. The primary efforts, findings, challenges, and next steps are summarized in this manuscript. Introduction The Society of Nuclear Medicine & Molecular Imaging (SNMMI) 2nd Artificial Intelligence (AI) Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD, on February 29 - March 1, 2024. Over 100 community members and stakeholders from academia, healthcare, industry, and NIH gathered to discuss the emerging role of AI in nuclear medicine. It featured two plenaries, panel discussions, talks from leading experts in the field, and was concluded by a round table discussion on key findings, next steps, and call to action.

Don Beyer's car dealerships were among the first in the U.S. to set up a website. As a representative, the Virginia Democrat leads a bipartisan group focused on promoting fusion energy. He reads books about geometry for fun. So when questions about regulating artificial intelligence emerged, the 73-year-old Beyer took what for him seemed like an obvious step, enrolling at George Mason University to get a master's degree in machine learning. In an era when lawmakers and Supreme Court justices sometimes concede they don't understand emerging technology, Beyer's journey is an outlier, but it highlights a broader effort by members of Congress to educate themselves about artificial intelligence as they consider laws that would shape its development.

Kara Frederick, tech director at the Heritage Foundation, discusses the need for regulations on artificial intelligence as lawmakers and tech titans discuss the potential risks. Robots run by artificial intelligence have the potential to attack the United Kingdom's National Health Service (NHS) and cause a disruption on the scale of the COVID-19 pandemic, according to a cybersecurity expert. Ian Hogarth, who works on the U.K.'s AI task force that was formed to help protect against the risks of AI, says that the growing technology is capable of an attack that could cripple the country's NHS or even carry out a "biological attack," according to a report in the Daily Star. Hogarth noted that AI technology continues to improve at a rapid pace, something he warned would lower barriers to "perpetrating some kind of cyber attack or cyber crime." A photo shows a sign of the London Ambulance Service of NHS in London.

When the average person thinks about AI and robots what often comes to mind are post-apocalyptic visions of scary, super-intelligent machines taking over the world, or even the universe. The Terminator movie series is a good reflection of this fear of AI, with the core technology behind the intelligent machines powered by Skynet, referred to as an "artificial neural network-based conscious group mind and artificial general superintelligence system". However, the AI of today looks nothing like the worrisome science fiction representation. Rather, AI is performing many tedious and manual tasks and providing value from recognition and conversation systems to predictive analytics pattern matching and autonomous systems. In that context, the fact that governments and military organizations are investing heavily in AI shouldn't be as much concerning as it is intriguing. The ways that machine learning and AI are being implemented are both mundane from the perspective of enabling humans to do their existing tasks better, and very interesting seeing how machines are being made more intelligent to give humans better understanding and control of the environment around them.

Amazon recently announced the general availability of a developer tool powered by machine learning that provides intelligent recommendations for …

The Army is working to deploy artificial intelligence on the battlefield to detect and classify real-time threats for soldiers in the years to come. The new systems, called the Aided Threat Recognition from Mobile Cooperative and Autonomous Sensors (ATR-MCAS), will scan and classify imagery from sensors that can be mounted on vehicles, aerial coverage and autonomous vehicles that will help soldiers recognize incoming threats. It is a tool that Lt. Col. Chris Lowrance, head of autonomous systems with the Army's AI Task Force, said will act as a "teammate" and reduce "cognitive load" by alerting soldiers of incoming threats. Soldiers in vehicles or holding mobile devices will be able to customize the feed of data that the ATR-MCAS will show and alert them to, Lowrance said. For example, a soldier driving a tank could set a laptop to only display images of enemy tanks when the computer-vision system detects them.

The House Financial Services Committee, Task Force on Artificial Intelligence, has scheduled a hearing for December 6th. The hearing is entitled, "Robots on Wall Street: The Impact of AI on Capital Markets and Jobs in the Financial Services Industry." The AI Task Force is relatively new, created by House Financial Services Committee Chairwomen Maxine Waters and announced in May of this year. This specific hearing has yet to publish an agenda nor panelists testifying before the Task Force. The importance of AI, machine learning and automation of financial services is growing rapidly.

The launch of the AI Task Force allows the Army to better connect with the broader artificial intelligence community and focus their efforts in this dynamic field. Artificial intelligence capabilities are relevant to all services and each of the Army's cross-functional teams (CFT's). The Army AI Task Force, located at Carnegie Mellon University, is subordinate organization of Army Futures Command. On November 19th, during Capital Factory's Defense Innovation Summit, five technology startup finalists will be judged by a panel of successful entrepreneurs, defense industry leaders and venture capitalists. One will walk away with a $100,000 investment that day!

The US military is massively speeding the development of AI to reduce soldier casualties, according to Fox News on Thursday. The establishment of high-speed, multi-domain warfare by 2030, in which AI technology can take advantage of'networks' to hit multiple targets with Hellfire missiles as a means of decreasing the risk faced by soldiers in the field is a primary objective of the Army's emerging AI Task Force. Easely outlined the current difficulty of amalgamating data, explaining that today's methods have "stovepiped" sensor systems, which organise vast amounts of incoming data. AI will streamline and "fuse" disparate sources to build a "sensor fusion" throughout multiple combat platforms. The Brigadier General included Multi-Spectral sensors and Synthetic Aperture Radar (SAR) as examples of technologies that will benefit from AI-empowered data processing.