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I saw an ELI5 asking about how smart gear integrates AI, and it got me thinking about the range of applications. It's not just about fitness trackers anymore.Such as, I've seen smart thermostats that learn your temperature preferences and adjust automatically based on occupancy, essentially using AI to optimize energy consumption. That's relatively straightforward, using sensors and learned patterns.
But what about more complex systems? Think about a smart wheelchair that can learn routes and avoid obstacles, or even adapt to diffrent terrains. that seems like it would require significantly more elegant AI processing, likely wiht ongoing learning and adaptation based on sensor input from cameras, accelerometers, and other sources. How do these devices balance the need for real-time processing with the limitations of battery power and processing capabilities? Are there specific types of machine learning models that are better suited for embedded AI applications in gear like this? what are the ethical implications of relying on AI in mobility devices?