Technology being developed in a nondescript office building in Reston could change how Army soldiers train for and operate in combat thousands of miles away. The Army's Integrated Visual Augmentation System (IVAS) runs on a pair of Microsoft goggles and links to a microsized drone that flies autonomously and collects video analyzed in real time by artificial intelligence algorithms trained to identify threats, like an enemy combatant with an assault rifle coming around a corner, or a vehicle of interest. Detections are sent to a heads-up display within the goggles and are shared across a squad. "It can all be done at the tactical edge out on the battlefield, using new-edge computing technologies, which basically puts the power of a supercomputer in the soldiers' hands," says Rob Albritton, a vice president at Reston-based Octo who heads up the AI Center of Excellence at the federal contractor's oLabs tech accelerator. Octo has been working on developing AI technology for IVAS since 2020 and is currently working with about 20 government agencies on a variety of other AI projects.

Intel shared updates on its "Project Amber" attestation-as-a-service initiative this week during the ... [ ] Intel Innovation developer conference in San Jose. Intel hosted the Innovation conference this week in San Jose. Intel frames the event as for developers by developers--providing an opportunity for attendees to collaborate and learn more about the latest advanced technology, open ecosystem resources, and innovative new computing solutions. Intel also used the event as an opportunity to share progress on "Project Amber" and provide a glimpse at how Intel envisions delivering its attestation-as-a-service offering to customers. Day one of Intel Innovation kicked off with a keynote from Intel CEO Pat Gelsinger.

Want to be a part of an elite team where our innovative technical solutions are delivered to customers that advance the state of the art while addressing long-term problems of importance to national security? At our Leidos' Multi-Spectrum Warfare Research and Analytics Systems (MSWRAS) Division, an organization in the Leidos Innovation Center (LInC), we are looking for you, our next Scientist who specializes in remote sensing data analytics. Join our team of Ph.D. level peers in designing and developing advanced technology-based solutions for contract research and development projects working in our Arlington, VA office. Fun roles you will have in this job: Describe instances of successful, proven, and demonstrable experience contributing to the technical work as part of cross-discipline teams in the development and integration of software-based solutions for competitive, contract-based applied research programs Work with teams composed of members from industry, small businesses, and academic-based researchers and should have experience working on projects focused on multiple technical fields such as machine learning, artificial intelligence, engineering, and software development and integration Describe how the work products to which they contributed had solved customers' problems in such domains as energy, health, and national security or in the commercial sector Work within the MSWRAS Division and across the LInC, performing basic and applied contract research and development projects both leading and working under the guidance of senior scientists and engineers. Processing, interpreting and analyzing large volumes of data collected by remote sensing platforms but may also include other types of phenomenological data such as field measurements, or weather data Independently design and undertake new research as well as partner in a team environment across organizations Contribute to the development of creative and innovative R&D approaches to solving major remote sensing analytics challenges and work with potential sponsors (customers or internal champions) to secure funding for new research efforts based on those topics Contribute to the productivity of teams composed of fellow researchers, data scientists, data engineers, and software engineers to execute complex R&D programs Under the guidance of a senior scientist or engineer, design and develop or integrate secure and scalable applications that are part of broader solutions, that are applicable across multiple domains.

Description Job Description: The Leidos Innovations Center (LInC) seeks a Machine Learning Research Engineer primarily focused on cognitive signal processing, to work in our Arlington, VA office. The candidate will research & develop new, state-of-the-art machine learning algorithms and implement them across the RF domain (e.g., communications, radar, electronic warfare, spectrum sensing, and signals intelligence [SIGINT]), in both modelling and simulation environments and real time software embed systems. The candidate will also contribute to technology developments in signal processing, optimization, detection & estimation, deep learning, and adaptive decision and control. Requires basic knowledge of and ability to apply machine learning and radar/signal processing principles, theories, and concepts in support of direct programs, IR&D, and marketing efforts. Primary Responsibilities Designs and develops methods, algorithms, and systems that apply machine learning technologies to support advanced signal processing concepts.

Description: The Health Group of Leidos is seeking a Scientific Information Analyst in Bethesda, MD. This position provides technical assistance to support accurate reporting of categorized research data to various groups as part of the NIH mission. The analyst maintains the accuracy of existing research category definitions, and works with experts in the field to present and develop new biomedical categories utilizing the indexing of research grant text. This position involves detailed work with NIH grant proposals, use of thesaurus-based natural language processing tools, documentation and data management, as well as collaboration with the team members and scientific experts at NIH's scientific centers. The Scientific Information Analyst provides technical presentations and demonstrations of data analyses and conclusions.

Description: The Health Group of Leidos is currently seeking a Research Scientist / Data Analyst to provide analytical and database support for a variety of health and psychological research studies. This position will be in the Health and Behavioral Sciences Department at the Naval Health Research Center located in San Diego, CA. Duties and Responsibilities: The successful candidate will use SAS 9.4 and SAS Enterprise Guide to support comprehensive data management processes for diverse, research projects. They will work collaboratively with the Principal Investigator and research scientists identify ways to answer complex mental and physical health questions with population-level military medical and personnel electronic records. Due to contract restrictions, candidate must be a U.S. citizen and will be required obtain a Secret Clearance.

The Leidos' Innovation Center has a vacancy for an Artificial Intelligence Software Developer to join our team in Beavercreek, OH to provide support for autonomous system development for our Air Force customer. The successful candidate will work with our team and customer to plan, prepare for, and execute advanced research in the areas of autonomy, sensor fusion, and exploitation, leveraging machine learning and artificial intelligence techniques.

The explosion of new data affects all of our domains from healthcare to national security. Across these domains, we're helping our customers adopt artificial intelligence (AI) and machine learning (ML) solutions that turn this data into new opportunities for insight and efficiency. Our deep understanding of our customers, their data, and their missions allows Leidos to deliver AI and ML solutions that provide real value immediately. AI is improving many ways in which our industries operate, but this also presents new concerns about reliability, resilience, and security. AI and ML systems present new attack surfaces, and a broad set of potential vulnerabilities in these systems has already been discovered. Through R&D programs, Leidos is developing ways to apply strong cybersecurity paradigms to these vulnerabilities.

The swells in the middle of the North Pacific were reaching nine feet when one of two engines on the diesel-powered U.S. naval ship called Sea Hunter shut down. About 1,500 nautical miles from its home base in San Diego, the 132-foot-long craft, which had been cruising at 10 knots, couldn't send a member of its crew to check out the problem--because it didn't have a crew. Sea Hunter's sleek, spiderlike silhouette, with a narrow hull and two outriggers, is a prototype of what could be a new class of autonomous warships for the U.S. Navy. Its artificial intelligence–based controls and navigation system, designed by Leidos Holdings, a defense contractor based in Reston, Va., were seven years in the making. And this maiden voyage--a more than 4,000-mile roundtrip to the giant Pearl Harbor naval station--was its first major proof of concept. Nothing like this had ever been attempted before.

See Sea Hunter hunt submarines. Was it really only December that DARPA told us it was building a submarine-hunting drone-ship for the Navy? Well, get ready to be surprised. Just four months after we learned of the existence of the Anti-Submarine Warfare Continuous Trail Unmanned Vessel program, or ACTUV, it's already complete -- and afloat. Last week, the Pentagon's mad scientists at the Defense Advanced Research Projects Agency unveiled the ACTUV prototype in Portland, Ore., christening the vessel Sea Hunter.