In 2019, Amazon launched self-learning.
Self-learning lets the system automatically make corrections based on context clues. This results in personalised, automatic customisations for every household.
Rohit Prasad, Vice President and Head Scientist – Alexa Artificial Intelligence, provides an example: “Say you ask your Echo to “play XM Chill”, and the request fails because Alexa doesn’t catalogue the station that way.
Learning from Failures
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If you follow up by saying “play Sirius channel 53,” and continuing listening, Alexa will learn that XM Chill and Sirius channel 53 are the same, all on its own. “That’s a big deal for AI systems,” says Prasad. “This is where it’s learning from implicit feedback.”
Machine Learning: What’s capable?
This is one of the many practical examples of machine learning & artificial intelligence.
Before these technologies, it wasn’t possible or practical to customise your software for each and every one of your customers. Today, this is a viable option.
Machine Learning is has already been implemented by many companies including Netflix, Google & more.
Challenges & Creepiness
For more on the challenges & (potential) creepiness of AI & Machine in smart homes check out: Is Your Smart Home Really Dumb?