Machine learning faces its toughest challenge yet: Discerning donuts from bagels
(Android Police)

Google is hoping to fix ML-powered "weak spots" like this with a crowdsourced challenge Machine learning may border on magic, and provide many of the biggest technical benefits we`ve enjoyed in the last decade, but it has plenty of `weak spots.` One of Google`s biggest concerns is that models are often trained using example data that`s too easy to interpret, making them unprepared for the greater ambiguity of the real world. Case in point: Telling a donut from a bagel. It`s an easy mistake to make, they share so many characteristics: Both are round, they`ve got a hole in them, and sometimes a visible texture on the top. Read More Machine learning faces its toughest challenge yet: Discerning donuts from bagels was written by the awesome team at Android Police.