Google AI gets better at ‘seeing’ the world by learning what to focus on

Google Deepmind co-founder Demis Hassabis Image: Google Computer vision research is flourishing — delivering machines that recognise who and what is in pictures almost as well as — and occasionally better than — humans. Cheap and readily available computing power combined with models for machine learning systems — known as convolutional neural networks (CNNs) — have enabled a leap forward in the efficacy of computer vision in recent years. On many tasks machines can identify faces, animals and things more than 90 percent of the time but researchers continue to refine systems, pushing for ever-more accurate performance. Take spotting house numbers: even machines can find it tricky to decide whether that’s a ‘2’ or a ‘7’ in a blurry image of a door. On Thursday, Google Deepmind published its latest…


Link to Full Article: Google AI gets better at ‘seeing’ the world by learning what to focus on