Here's an Idea: The Future of AI and Machine Learning in Avionics Systems
Artificial intelligence (AI) and machine learning are transitioning from future-facing buzzwords to a near-term possibility for commercial aircraft avionics systems.
In February, Intel published a jointly written whitepaper with Daedalean, a Switzerland-based startup and developer of AI and machine learning software for avionics systems. The whitepaper proposes a reference architecture for addressing future certifiable machine-learned avionics systems requiring high-performance computing. Luuk van Dijk, co-founder and CEO of Daedalean, joins the podcast to discuss how the reference architecture could enable the use of AI and machine learning in future avionics systems.
Subscribe to the Here's an Idea podcast on Apple Podcasts or Spotify.
INSIDERRF & Microwave Electronics
University of Rochester Lab Creates New 'Reddmatter' Superconductivity Material...
MIT Report Finds US Lead in Advanced Computing is Almost Gone - Mobility...
Airbus Starts Testing Autonomous Landing, Taxi Assistance on A350 DragonFly...
Boeing to Develop Two New E-7 Variants for US Air Force - Mobility Engineering...
PAC-3 Missile Successfully Intercepts Cruise Missile Target - Mobility...
Air Force Pioneers the Future of Synthetic Jet Fuel - Mobility Engineering...
Leveraging Machine Learning in CAE to Reduce Prototype Simulation and Testing
Driver-Monitoring: A New Era for Advancements in Sensor Technology
Electronics & Computers
Tailoring Additive Manufacturing to Your Needs: Strategies for...
How to Achieve Seamless Deployment of Level 3 Virtual ECUs for...
Specifying Laser Modules for Optimized System Performance
Volvo CE Previews ConExpo 2023 Display
ArticlesManufacturing & Prototyping
Low Distortion Titanium in Laser Powder Bed Fusion Systems