If we can use an already remarkable technology to actually improve that same kind of technology, every advancement made by humans can lead to machine-powered advancements, which lead to better tools for humans, and so on. It’s already leading to dramatic advancements in healthcare, finance, agriculture, and so many other fields. Truly, AI has the potential to affect far more than just our homes and phones.
It could lead to improvements in the speech recognition tech required for a voice-controlled Google Home, the facial recognition software powering the Suggested Sharing feature in Google Photos, and the image recognition technology utilized by Google Lens, which allows the user to point their Google Phone at an object (such as a flower) in order to identify it. AutoML has the potential to impact many of the other AI and machine learning-driven softwares that were discussed at the conference.
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