The Department of Defense's Chief Digital and Artificial Intelligence Office is seeking vendors to develop software prototypes for the Joint AI Test Infrastructure Capability project. CDAO Test and Evaluation Directorate issued a call to industry notice on Nov. 21 in pursuit of AI technologies capable of object detection and computer vision classification. The office's test and evaluation directorate is building a software infrastructure to support trials of AI and machine learning adoption across DOD operations. The goal of the JATIC program is to advance AI T&E and address out-of-scope testing issues such as natural language processing, systems integration, human-machine evaluation and performance monitoring. Interested parties may register until Jan. 3, 2023.

AI have teamed up to provide the Department of Defense with an artificial intelligence and machine learning technology to help DOD process and …

The Defense Advanced Research Projects Agency is seeking novel approaches to building a utility-scale, fault-tolerant quantum computer through the Underexplored Systems for Utility-Scale Quantum Computing program. "If there's an underexplored area of quantum computing showing promise for a faster breakthrough than we previously expected, we want to explore it immediately and thoroughly verify and validate the approach's viability," Joe Altepeter, US2QC program manager at DARPA's defense sciences office, said in a statement published Tuesday. The US2QC program will focus on assessing the viability of approaches to utility-scale quantum computing and its initial phase – Phase 0 – will allow participants to present a design concept of their planned quantum computer. "There's no one verification and validation program that fits all the different quantum computing approaches out there," Altepeter said. "That means we don't know what follow-on phases will look like or how long they'll be. Identifying key milestones will be unique for each project depending on how the Phase 0 validation and verification goes. If the proposed concept proves to be sound, Phase 0 could be very short. As teams meet follow-on phase milestones unique to their approach, we'll keep scaling the effort up."

BAE Systems has received a $14 million contract to help the Intelligence Advanced Research Projects Activity develop artificial intelligence and machine learning tools for the detection of radio frequency signals that pose a security risk to military communications. The company will lead a team of commercial and academic organizations in an effort to bring AI/ML technology-based data protection approaches to intelligence and defense missions through the Securing Compartmented Information with Smart Radio Systems program. IARPA's SCISRS project is seeking "smart radio" methods to automate RF environment analysis and identify unexpected signals and complex anomalies such as unintended emission. BlueHalo subsidiary Intelligent Automation, PFP Cybersecurity, Signal Processing Technologies and Virginia Polytechnic Institute and State University will serve as subcontractors to BAE on the effort. Sign Up Now! GovCon Wire provides you with Daily Updates and News Briefings about Artificial Intelligence

Torch.AI has acquired data extraction software company B23 for an undisclosed sum and announced the appointment of Brad Kolarov, founder and managing partner at B23, as a vice president. "The acquisition of B23 expands our current work supporting the U.S. Navy in extraordinary ways," Brian Weaver, chairman and CEO of Torch.AI, said in a statement published Thursday. Established in 2014, Virginia-based B23 extracts actionable competitive intelligence from aggregated data sources and has developed maritime autonomy and artificial intelligence applications. Torch.AI said it will combine B23's machine learning experience with its Nexus software platform to improve clients' data processing capabilities. Kolarov spent nine years as a Navy SEAL officer and culminated his naval career as a lieutenant commander.

Join the virtual forum to hear from government and commercial sector executives as they share insight on how AI technology is shaping the future of …

GovCon Expert Chuck Brooks has published his latest article as a member of Executive Mosaic's GovCon Expert program on Wednesday. Brooks discussed the development and procurement of emerging technologies as they influence every sector of the federal marketplace, including the Department of Defense (DoD), the Department of Homeland Security (DHS), academia and the intelligence community. You can read Chuck Brooks' latest GovCon Expert article below: The development and procurement of emerging technologies is being institutionalized throughout government, particularly in national security areas. There are a variety of new initiatives and programs that have been created to ensure that the United States is prepared for a new era of technology leadership. If you are interested in transformative technologies, it is an exciting time to follow what is happening both in industry and in government.

Future near-peer adversaries will attempt to contest all domains and utilize complex and congested terrain to mitigate current joint force capabilities and reduce effectiveness of U.S. Department of Defense (DoD) tactical maneuver elements. During Potomac Officers Club's Artificial Intelligence for Maneuver Virtual Event, a panel of expert speakers across the public and private sectors will discuss how the federal government, and its industry partners, can deter or defeat peer threats in contested multi-domain environments. To register for Artificial Intelligence for Maneuver Virtual Event, as well as learn about new upcoming opportunities, visit Potomac Officers Club's Event Page. Christian Dunbar of the Department of the Navy, the panelist will discuss how advances in artificial intelligence and machine learning algorithms can enable human-machine teams to bring greater precision, certainty, speed and mass to the battlefield. The panel will be moderated by Joel Dillon, vice president of Global Defense, Army Account, with Booz Allen Hamilton.

Tahera Zamanzada, director of digital strategy for the global public sector at Salesforce (NYSE: CRM), said the COVID-19 pandemic has prompted government agencies to advance digital transformation and deliver better customer service through the adoption of cloud platforms. "The digital customer experience in government benefits tremendously from cloud technology because it supports mobile solutions in ways that otherwise would not exist and leads to much higher adoption rates plus happier customers," Zamanzada wrote. "Cloud can also handle the fluctuating bandwidth of demands so that agencies can scale up or scale down as needed." She noted that agencies should work to provide citizens with an omnichannel experience to facilitate communications and interaction with the government and use artificial intelligence platforms to gain deeper understanding of their customers in order to better meet their needs. "They can use those insights to create human-centered design frameworks as part of their digital transformation plans while they continue to fine-tune their business processes and home in on mission effectiveness," Zamanzada added.

Rob Roy, public sector chief technology officer at Micro Focus Government Solutions, has said machine learning and cloud platforms could help government agencies protect their networks from cybersecurity breaches and achieve efficiency. Roy wrote how unsupervised machine learning could assist agencies in detecting anomalous user behavior. "Unlike the rules-based approach, unsupervised machine learning lets the technology develop an understanding of how the network's users typically behave and alert administrators when something abnormal occurs, increasing the likelihood that a rogue event is detected and a response is orchestrated at machine speed," he added. He said data scientists could help agencies sort through raw data and determine relevant information to analyze in order to address a specific problem. He also mentioned the potential benefits of migrating common business-oriented language-based mainframe applications and other legacy systems running mission-critical functions to the cloud.