"The effort to prototype the AI tool began in October 2018 after the technology was discovered at an industry event. When I was at sea I used to get my air picture, my surface picture my EW [electronic warfare] picture; that data was fused in my head. MASS’ TVACD process has enabled tools to be developed that support and enable the more complex procedural areas and, having standardised the data between tools, automation is within grasp” says Tottingham.MASS, which provides EW support in the UK and for several overseas customers, is continually developing its THURBON data management system as part of its TVACD process and Tottingham adds that today’s computational power and AI is rapidly moving EW towards automation.“Process, data and artificial intelligence are the key to automation, speeding up the TVACD lifecycle and pulling EW into the 21
"The engineers and developers are taking feedback from Soldiers, either through the ONS with the prototype equipment or with EW Soldiers visiting Aberdeen Proving Ground, and they immediately try to incorporate that feedback into the next capability drop. We’re collecting so much data now, I want a machine to do that fusion for me.”The key to automating Electronic Warfare Operational Support (EWOS) and speeding up the TVACD lifecycle is to consider the overall process and then ensuring that data standards are defined so that the required data can flow freely throughout the process.One of the major challenges is that processes are currently ill-defined or not defined at all and the data that flows from one part of the process to another is not standardised. Home; Trusted Computing; Army wants artificial intelligence technology for cyber and electronic warfare. "The tool saves time by decluttering the user interface and enhancing Soldiers' ability to zero in on whether the emitter is from a "red" or enemy source, is a "blue" or friendly force signal, or just "gray" noise. BAE Bets on Use of Artificial Intelligence in Electronic Warfare. “It’s about taking the burden off the decision-maker to fuse that data together in their head. "With the current sensor technology, you end up with a lot of noises on your display," said SFC Steven Schoyen, an electronic warfare NCO for the 1st Stryker Brigade Combat Team (1st SBCT). Artificial Intelligence improves Soldiers' electronic warfare user interface. In November the RCCTO, C5ISR Center and PM EW&C began a cognitive mapping process with the help of EW Soldiers like Insch and Schoyen, outlining the steps they take as they work through signal detection on the battlefield.Now, the Army is running the technology through operational scenarios in labs prior to holding live demonstrations and evaluations this year in coordination with PM EW&C. Equally, many different stakeholders collect their own data but it is not centrally managed.“But many of these challenges have been or are being resolved. By Nancy Jones-Bonbrest, U.S. Army October 8, 2019. -- The view for an Army electronic warfare (EW) Soldier can be daunting. This approach of using direct user feedback enables the Army to be responsive to Soldier needs and rapidly insert new technology - like AI - as soon as it becomes available. Artificial intelligence (AI) can enable an evolution in Electronic Warfare countermeasures development by automating the process in which the threat is identified and an effective countermeasure is developed, according to experts at Cohort company MASS. Initial feedback demonstrates a significant reduction in the time it takes to generate the EW Soldiers' common operating picture. By eliminating these signals, Soldiers can concentrate on those most significant. It was assessed by the EW community for scalability, ease of operations and security. Defence Procurement International is published by Trident Publications Limited "As the operator is attempting to discern what one correlation is, three or four more may begin to evolve. "Operating on the complex battlefields of the future or in megacities with dense radio frequency environments, as our EW Soldiers get more sensors, they'll also receive much more data," said Chief Warrant Officer 3 William Insch, an EW Technician with the Army's Project Manager Electronic Warfare & Cyber (PM EW&C). "The agile, iterative development of EWPMT is an outstanding way for EW and electromagnetic spectrum manager Soldiers to have a direct impact on the program," Insch said. Soldiers with select units are using the equipment to implement electronic protection for their own formations, to detect and understand enemy activity in the electromagnetic spectrum, and to disrupt adversaries through electronic attack effects. It also showed a reduction in the work these operators must perform, which decreases potential errors.This is the second artificial intelligence and electronic warfare effort for the RCCTO, which recently conducted a Signal Classification Challenge to find an AI/Machine Learning application to help EW Soldiers on the back-end of signal detection. "AI will help translate all this data into information, and ultimately distill it into understanding, so EW Soldiers can better support the commander. Artificial intelligence (AI) can enable an evolution in Electronic Warfare countermeasures development by automating the process in which the threat is identified and an effective countermeasure is developed, according to experts at Cohort company MASS.MASS’s EW specialists will outline the progress they have made in designing an end-to-end process that supports the full cycle of threat vulnerability analysis and countermeasure development (TVACD) and how automation can enhance this process in a presentation at EW Europe in Lausanne on 5-7 June.Brian Tottingham, MASS Mission Data Technical Services Manager, Brian Tottingham, says that significant operational advantage can be delivered by using automated analysis of threat parameters and exploiting the advances in machine learning to extract aerodynamic, guidance, control, fuse, warhead and signal processing data from open source intelligence (OSINT).The types of threat where MASS believes AI and machine learning can far outstrip the ability of human decision-making is against hypersonic missiles, which travel at speeds far too quick for a human to react in order to successfully counter the threat.In mid-May, the Royal Navy concluded its second annual Information Warrior 2018 (IW18) exercise, which saw it create a test facility at the Portsdown Technology Park in Portsmouth, that mimics the future IT systems going into ships from next year that will use artificial intelligence (AI) to build a bigger and better “Ship’s Brain” that moves electronic data around the vessel to key decision-makers (engineers, warfare officers, operations) more quickly and easily, giving the Navy the information advantage it needs to better identify anomalies and more easily distinguish normal patterns of behaviour from abnormal ones.“It’s not outsourcing war to Siri or Alexa,” says Lt. Cdr Sally Whitehall Navy Information Warfare (Force Generation) and Fleet Communications Officer and Lead Commander for Information Warrior 2018.