oceanlove

  By Sundip R. Desai, Lockheed Martin Associate Fellow and Guidance, Navigation, and Controls Engineer at Lockheed Martin Space     The use of data-driven modeling to represent complex systems has become prevalent due to the rise of artificial intelligence and machine learning, which we primarily attribute to the advancements in hardware acceleration, better end-to-end software pipelining, and open-sourced architectures. With these advancements in mind, engineers and scientists can now take massive amounts of data collected from a physical device and create a somewhat usable digital twin in a day. We say “somewhat” because the model is not complete, just a mere reflection of the data organizations provided. Data-driven modeling, or ‘surrogate’ modeling, only captures the structural artifacts of the data that organizations present. The model does not contain innate knowledge, reasoning capability, or perception of the world.     A “World Model” ...