Darpa ai colloquium

And automation throughout military systems. Adversary nation-states responded by exploiting these networks, and it was during this period that the notion of an “electronic Pearl Harbor” entered the public consciousness5 and the status of cyberspace ascended to that of a domain of active conflict alongside the traditional domains of sea, land, air, and space. The connected nature of cyberspace enables an adversary to strike at any geographic location in the United States, and at a wide range of targets, including the power grid, refineries, chemical plants, airline reservation systems, enterprise and wide area networks, the financial markets, the bulk power markets, communications systems, natural gas pipelines, and water and wastewater utilities.Affecting the Cyber PresentDuring the 2000s, DARPA funded selected efforts in cybersecurity. In 2010, DARPA centralized cyber R&D within a new office – the Information Innovation Office (I2O). The creation of I2O included the hiring of several well-known computer science and cyber experts from academia and industry, and greatly expanded DARPA’s cyber program portfolio and investment. To stimulate the interest and involvement of the cyber community, DARPA hosted, on Nov. 7, 2011, a Cyber Colloquium that was attended by approximately 700 researchers, operators, and other stakeholders from industry, academia, and government6,7. The DARPA Cyber Colloquium was a bright signal to the broad U.S. cyber R&D community that DARPA would bring its unique project-centric approach to the development of future cyber capabilities, both defensive and offensive.In the seven years since the colloquium, DARPA’s programs have had great impact8. Recognizing that cyber threats to physical systems such as vehicles could be devastating for the military, DARPA in 2012 created the High-Assurance Cyber Military Systems (HACMS) program to secure embedded computing systems in mission-critical commercial and military assets against cyber attacks. DARPA’s work in this threat space resulted in heightened awareness of the need for improved automobile cybersecurity9 and led to changes throughout the industry. DARPA’s technical approach to secure software featured formal methods (based on mathematical techniques) to ensure that software reliably does what it is specified to do, and nothing else. DARPA demonstrated these formal methods by developing a secure mission system for an autonomous helicopter. The agency now is working with the DOD to transition tools for building software with much greater cyber resiliency, and envisions a day when formal methods and other advanced tools for creating provably secure software will be adopted by the defense procurement process.

Portion of the electromagnetic spectrum with increased range and effectiveness.” DARPA is requesting $4 million to start the VAMPS effort in FY24.Archie: Under the Archie program, DARPA “seeks to develop techniques to characterize the electromagnetic spectrum to enhance radio frequency (RF) situational awareness, maneuverability, and countermeasures in Anti-Access/Area Denial (A2/AD) environments.” The program will leverage distributed communications technologies developed under DARPA’s earlier Resilient Networked Distributed Mosaic Communications (RN DMC) program “to enhance distributed electromagnetic warfare (EW) capabilities making them more robust and effective. Current radar and EW systems face the challenge of operating in a more congested and contested RF environment. At present, traditional EW systems do not have the capability to characterize this environment, leading to performance degradation. Archie will overcome this by characterizing the electromagnetic spectrum and determining the optimal means by which to deploy radar and EW capabilities.” DARPA is seeking $12.5 million in FY24 to “identify and develop the RF architecture for massive RF characterization” and “initiate technique development and testing.”PAIR: DARPA’s Predictive Antijam Artificial Intelligence Receivers (PAIR) program looks to “develop a next-generation artificial intelligence (AI)-enabled antijam receiver, to enable reliable communications links in a fully congested spectrum.” The program will leverage “advances in predictive AI-controlled filters and analog-to-digital converters, as well as neural network digital signal processing producing low latency real-time feedback to the receiver components.” Ultimately, the PAIR program will “enable new capabilities in tactical and long-range radio frequency (RF) communication systems, addressing future military needs for assured, on-demand, antijam information delivery, in environments where today communication would be impossible.” In FY24, the program will begin with a system-level study of AI-based receiver requirements, followed by development of “individual AI-enabled receiver components, including analog filters, analog-to-digital converters, and neural network digital signal processors meeting the derived system study requirements.” The FY24 funding request is $6.5 million.US NAVY FY24 BUDGET REQUEST FUNDS SCALED SHIPBORNE EA, NGJ UPGRADESThe US Navy is pursuing two new initiatives in FY24. It wants to begin developing a scaled shipborne electronic attack (EA) system for integration in warships too small to receive the AN/SLQ-32(V)7 suite. And for its Airborne Electronic

By November 28, 2022 0 Comments On November 21, the Defense Advanced Research Projects Agency (DARPA) posted a request for proposals for AI Reinforcements (AIR). Abstracts are due by 3:00 p.m. Eastern on December 12.DARPA seeks innovative proposals for the development of dominant tactical autonomy for multi-ship, beyond visual range air combat missions. Autonomy solutions will initially be developed and demonstrated on human-on-the-loop F-16 testbeds and then transferred to an uncrewed combat aerial vehicle. The Artificial Intelligence Reinforcements (AIR) program will create a dominant Artificial Intelligence (AI) air combat capability compatible with existing sensors, electronic warfare, and weapons within dynamic and operationally representative environments. AIR will also develop the processes needed to rapidly design, test, and deliver future iterations of AIR software products.DARPA anticipates that successful performer teams will have recent, relevant, and significant experience and expertise in aerial AI system design and development with a proven record in algorithmic design, aircraft sensors, electronic warfare, and tactical combat operations. Successful performers must also have the ability to work in classified environments up to the TS//SAR level.Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, and/or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice.Multiple awards are anticipated for each Technical Area (TA) totaling approximately six (6) performers in Phase 1, and up to four (4) performers in Phase 2.Review the full AIR call for proposals.Source: SAMThe right opportunity can be worth millions. Don’t miss out on the latest IC-focused RFI, BAA, industry day, and RFP information – subscribe to IC News today.