Michael Wagner’s Post

From leading system safety on cutting edge programs to leading the discussion on Assurance and Trustworthiness in AI, I'm proud of the impact our company has made. If you're at XPONENTIAL this year and want to learn more check out this panel of industry leaders moderated by our CEO, Michael Wagner. #xponential, #auvsi, #systemsafety, #defense

🚀 Exciting Update: Recently attended a thought-provoking seminar on "The Advantage of AI and the Power of AI Skills: Integration of AI in Defence Industries"! in Carrer Craft Academy on 20 march,2024 💡 It was enlightening to explore how AI is reshaping the defence sector, enhancing capabilities from autonomous systems to predictive analytics. The insights shared by industry leaders underscored the critical role of AI skills in driving innovation and security. I'm inspired to further develop my expertise in AI to contribute meaningfully to advancements in defence technology. Here's to leveraging AI's potential for a safer and more advanced future! 🛡️🔍 #AIinDefence #FutureTech #ContinuousLearning

Here is another model created with GNext, this time with the AI back processing: https://lnkd.in/eSc72jid

Teledyne FLIR Launches Prism AIMMGen: Revolutionizing AI Model Creation with Synthetic Data How can synthetic data accelerate AI development? Teledyne FLIR’s latest innovation, Prism AIMMGen, transforms AI/ML model generation with its ITAR-free synthetic data tool. By automating the creation of millions of annotated images, AIMMGen reduces the intensive manual labeling process and offers a faster, cost-effective solution for system integrators across commercial, defense, and first response sectors. What role could synthetic data play in AI advancements? Learn more about Teledyne FLIR Systems’s approach to AI at the Association of the United States Army - AUSA 2024 Annual Meeting. #TeledyneFLIR #PrismAIMMGen #SyntheticData #AI #MachineLearning #DefenseTechnology #AvfoilNews #AUSA2024 #MLOps #InnovationInTech

Detect features without custom AI or a big datasets? If your robot need to detect features (signs, logo) and can't train custom AI, you can use the ROS package find_object_2d which rely on pure computer vision (SIFT, SURF and ORB). Give a try to find_object_2d: https://lnkd.in/d3uF2tZ5 Like and subscribe for more ROS2 and robotic content! #ROS2 #ROS #OpenSource #ComputerVision

DoD to propose a maturity model for generative AI, analagous to the well-known model for self-driving cars. Will be interesting to see how the model adjusts based on specific domain, since reliability & safety of AI agents will vary by use case, e.g. assessing intelligence threats vs. controlling weapons systems.

Bringing life to the OG windows wallpapers to life, using AI. Which one was your favorite? . Generated using Runway #Gen3 Image input --> Very simple prompt: "Drone shot, slow zoom in" . The soundtrack is by Artisan (https://lnkd.in/g7AbCsUs)

A virtual cattle herding game has offered researchers new insights into how people make decisions regarding movement and navigation. This unique study examined how dynamical perceptual-motor primitives (DPMPs)—basic movement models that simulate natural human behaviors—can be used to replicate human decision-making in navigation. Findings showed that a simple DPMP model was able to match nearly 80 percent of participants’ movement paths and predict their choices effectively, potentially benefiting AI and robotic navigation systems. https://lnkd.in/eEnPuX7f FuturistSpeaker.com #foresight #predictions #futuretrends #futureofwork #futurejobs #keynotespeaker #futuriststrategy #mostquoted

https://lnkd.in/eD_M4fGA very interesting and pragmatic initiative .  For example AI could Analyse the big amount of safety occurences  collected by industry and detect weak signals that could be accident precursors.