Were you one of those who thought that Facebook’s new feature that allows you to add filters to your videos, making them look like paintings, was not such a big deal? Then you were wrong, Mike Schroepfer, Facebook’s chief technology officer told the audience at the Web Summit Tech Conference in Lisbon on Tuesday.
Schroepfer explains how you would be forgiven for thinking that this update is minor, as all it initially looked like was a style transfer that allowed you to make your video look like a Van Gogh oil painting, CNBC writes.
This technology developed by Facebook has managed to embed AI into its app that makes it possible for people to add these filters in real-time, which means that computing tasks that once required large data centers, can actually be done from a mobile device.
“This is one application of AI on the device, it’s one of the first. But the real breakthrough here is being able to train and build models on a big server…and deploy them directly to your pocket so you can run them in real time wherever you are. That is the exciting future of AI,” Schroepfer said during a keynote speech.
The app is called Caffe2Go, and according to a recent blog post published by Facebook it works by: “condensing the size of the AI model used to process images and videos by 100x, we’re able to run various deep neural networks with high efficiency on both iOS and Android”.
Neural networks is seen as a key technology in the AI field, as it is a technology that mimics the human brain and therefore is able to learn, improve and make connections.
“In VR, image and video processing software powered by computer vision is improving immersive experiences and helping to support hardware advances. Earlier this year we announced a new stabilization technology for 360 videos, powered by computer vision. And computer vision software is enabling inside-out tracking to help usher in a whole new category of VR beyond PC and mobile, as we announced at Oculus Connect 3 last month. This will help make it possible to build high-quality, standalone VR headsets that aren’t tethered to a PC,” Schroepfer wrote on his blog.
Despite Schroepfer praising the abilities of AI, he also mentioned its limitations and emphasised the lack of understanding of context. Using the simple example of a water bottle standing at the edge of the table, where a human would react and move it, a machine would not pick this up. This is due to the human thought process ‘predictive learning’, which allows you to form a hypothesis and then testing it.
“Facebook’s aim is to make computers that “learn, plan and reason like humans” and combination of context, knowledge, reasoning and the ability to predict events will get AI to that stage”, CNBC writes.
“When our research succeeds in teaching computers all the abilities I outlined … these will add up to something like what we call common sense. And when computers have common sense they can interact with us in better, more natural ways, from surfacing the most relevant information for us and assisting us with tasks to enabling whole new ways for people to connect,” Schroepfer said.
This article was first published at: http://www.cnbc.com/2016/11/08/facebook-shows-off-a-feature-it-says-is-a-big-breakthrough-in-artificial-intelligence.html
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