Tag: AI

AI, Assurance, and the Future of Aviation Operations

FROM THE INSTITUTE
At AIAA AVIATION Forum, aviation leaders zeroed in on a practical question: how to introduce advanced analytics, automation, and autonomy into live operations, including airlines, new entrants, and future airspace, without breaking the complex system that already moves hundreds of thousands of people every day.

As Aerospace Prioritizes AI, Aviation Experts Ask, “What Problems Are We Trying to Solve?”

FROM THE INSTITUTE
The first Forum 360 panel at AIAA AVIATION Forum asked a simple question when it comes to AI’s growing role in aerospace: What problems are we trying to solve? That conversation featured several answers from experts representing major aerospace OEMs, defense primes, and the U.S. Air Force’s main research lab that set the tone for the rest of the week’s programming.

Performance, Productivity, and the Potential Cost of Artificial Intelligence

FROM THE INSTITUTE
As a member of the AIAA AVIATION Forum 2026 Guiding Coalition, it was clear to Tracy Elving that a nuanced discussion about artificial intelligence had to kick off the forum. When asked about the core value of AI, some on the Guiding Coalition felt that it could provide solutions to ambitious technical challenges, while others argued it could enable engineers to do higher order tasks. A lack of consensus created a provocative opportunity.

Human Judgment in the Age of Autonomous Warfare: Why Congress Must Keep Human Oversight in Military Decisions

FROM THE INSTITUTE
As we navigate the rapidly evolving landscape of modern warfare, artificial intelligence (AI) is becoming a game changer. From analyzing intelligence and refining targeting processes to streamlining logistics and enhancing capabilities in autonomous platforms across various domains such as air, land, sea, and even space, AI is reshaping how we think about conflict. The potential advantages are significant: quicker decision-making, better situational awareness, and the ability to operate effectively even in chaotic environments.

Northrop’s Talon IQ Flies First Mission With Shield AI’s Hivemind Autonomy

The Defense Post reports, “Northrop Grumman’s Talon IQ modular testbed, equipped with Shield AI’s Hivemind as its digital brain, has completed its first partner mission autonomy flight in Mojave, California. Following its single‑day hardware‑in‑the‑loop test, Hivemind successfully directed Talon IQ to execute combat air patrol and target engagement in the flight before the aircraft swapped back to Northrop’s Prism autonomy software.”
Full Story (The Defense Post)

AI Shifts the Paradigm of Aerospace Structural Modeling

From the Institute
Artificial intelligence (AI) can and should be a practical partner in changing the way aerospace structural modeling is accomplished, remarked Wenbin Yu. While physics-based models remain essential, AI can accelerate computation, fill knowledge gaps, integrate workflows, and make advanced simulation tools accessible to more engineers, he added, describing this new paradigm in detail during an AIAA JournalKeynote Seminar Series webinar.

Lockheed Martin Details Challenges Implementing AI in the DOD Marketspace

FROM THE INSTITUTE
“AI will be the mainstream fabric of everything we do going forward,” John Clark, Lockheed Martin’s senior vice president of Technology and Strategic Innovation, said during AIAA AVIATION Forum. Speaking with Graham Warwick, executive editor of Technology for Aviation Week, Clark discussed a range of challenges confronting the defense aerospace sector in today’s AI race, while sharing Lockheed Martin’s specific path forward, embracing a modular deployment of AI focused on use cases and iterating fast from existing models.
Full Story (Aerospace America)