For system integrators, understanding the differences between machine learning, deep learning, and artificial intelligence, as well as the resulting benefits to the warfighter, is key to selecting the right solution. While there are many ways to apply the techniques encompassed by the artificial intelligence and machine learning umbrella, these applications require cutting-edge processing and sensor technology to maximize their effectiveness.
Currently, there are numerous discussions about how aerospace and defense organizations can leverage machine learning, deep learning, and artificial intelligence. Driving this initiative are innovative applications that enable the warfighter to identify threats and objects from a distance, locate and resolve equipment issues before they fail, and detect unseen dangers.
As exciting as the possibilities are, understanding this technology in a growing field can be challenging. Terms are sometimes used interchangeably, and technologies are often inaccurately described, making it difficult to develop a clear understanding of their application potential.
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- Machine Learning, Deep Learning, and Artificial Intelligence Defined
- The Possibilities: Exploring Potential Defense and Aerospace Applications
- The Requirements: Understanding the Challenges and Technology Enablers
Thomas King
Product Manager for GPU and Edge Compute Solutions
Thomas King is a Product Manager at Curtiss-Wright Defense Solutions, managing the GPU compute and graphics product line. Thomas has a degree in Aerospace Engineering from Carleton University with a specification in Space Systems Design. With a background in technical sales and applications engineering, he has experience supporting customer integration of embedded electronics. Thomas is interested in new and innovative solutions regarding sensor, AI, RF, and compute technology.
Mike Southworth
Senior Product Line Manager
Mike Southworth is Senior Product Line Manager for Curtiss-Wright Defense Solutions. He has 25+ years of experience in technical product management and marketing leadership roles. Mike holds an MBA from the University of Utah and a Bachelor of Arts from Brigham Young University.
Aaron Frank
Senior Director, C5ISR Product Management
Aaron Frank joined Curtiss-Wright in January 2010. As the Sr Director of the Product Management team, he is responsible for a wide range of COTS products utilizing advanced processing, video graphics/GPU and network switching technologies in many industry-standard module formats (VME, VPX, etc.). His focus includes product development and marketing strategies, technology roadmaps, and being a subject matter expert to the sales team and with customers. Aaron has a Bachelor of Science in Electrical Engineering degree from the University of Waterloo.
