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Our Artificial Intelligence and Mobile Robotics course teaches a new level of understanding of systems, coding, biology, and behavior to middle school and high school students interested in learning the soft skills and hard skills that will be in demand for decades to come.
Ben and Julia found that COASST participants improve their identification accuracy over time – a result of repeated and consistent identification practice and engagement with COASST staff who train and provide opportunities to learn. I became fascinated with farming and growing food. It also has a page specifically on marine ecology.
But it also highlights how significant our specifics—our particular history, biology, etc.—are. People might say: “Computers can never show creativity or originality”. This broad equivalence is important in being able to make very general scientific statements (like the existence of computational irreducibility). So what’s left?
Because for some reason—that maybe one day we’ll have a scientific-style understanding of—if we always pick the highest-ranked word, we’ll typically get a very “flat” essay, that never seems to “show any creativity” (and even sometimes repeats word for word). The key is the notion of attractors.
What about systems that adapt or learn? But that email was right before I discovered yet more kinds of computational systems to explore, and before I’d understood applications to biology, and physics, and mathematics, and so on. But what could be figured out like this? What about systems based on constraints?
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