The Interactive Guide to Teaching Machines to See the Way We DoAdvertising
Shazaming the Kim Kardashian LookCNN
Celebs on Instagram may spur sales or aspirational envy when they share and tag images and posts of clothing and accessories, but all too often the stuff is out of reach for the average fashion-focused fan. So kudos to Kim Kardashian for advising a ScreenShop, a new smartphone app that lets users upload images they capture or find online of clothing or accessories they like, then uses computer vision to find similar items in multiple price ranges from dozens of retailers including H&M, Nordstrom and TopShop.
Automating the AutomationNew York Times
Good AI talent is scarce, but the need for machine learning is ever-growing. So, the only way to design and build more AI is to create AI that can design and build AI on its own, at least that’s what’s behind initiatives such as Google’s OpenML. Welcome to Neural-Network-Building-as-a-Service.
When GPS Isn’t EnoughVRFocus
Google StreetView meets augmented reality in Blippar’s new AR City app, which uses computer vision to superimpose icons and text identifying restaurants, tourist spots, and other points of interest onto your phone’s viewfinder, along with turn-by-turn directions. Now, in addition to not having to ask total strangers, in a language you don’t speak, for directions, you also won’t have to ask them to tell you what that cool monument in front of you is.
ABOUT FACE IDMachine Learning Journal
Running a 3D depth sensing camera to map faces for facial recognition is no easy task, and it’s made even more challenging when it runs locally (to protect privacy) and has to share resources with all the other operations running on your smartphone. Here, Apple explains how it pulled this off, which should ease privacy concerns, as long as Apple doesn’t ever actually upload that training on your face to the cloud.