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In the course of a normal day, an average person might interact with a dozen different ML-powered apps just using their iPhone. - Uber/Google Maps/Waze: ETA pr
by ChefboyOG 4y ago
In the course of a normal day, an average person might interact with a dozen different ML-powered apps just using their iPhone.
- Uber/Google Maps/Waze: ETA prediction
- Gmail: Smart Compose & spam filtering
- Instagram/Snapchat/Any camera app: Computer vision
- Siri/Google Assistant: Speech-to-text
- FaceID: Facial recognition
- Facebook/Netflix/All content aggregators: Recommendation engines
- Any banking app: Fraud detection
ML's use is extremely widespread at this point. The above list is just a tiny snapshot. "AI" is term thrown around by marketers and hypemen all the time, no arguments there, but ML's usage is anything but niche these days.
- brutus1213 4y agoGood list but it is so much more ubiquitous .. any time you pull your camera out to take a picture, there is a ton of AI/Deep Learning based methods being used. Yes, it used to be done with classical techniques a few years back, but DNNs are finding themselves being used in all sort of niche functions.