More details, Mark Zucklberg personally called Yann LeCun on the phone to be the director of AI research.
Here's an abstract from one of his latest papers: *Learning Hierarchical Features for Scene Labeling*, scheduled to appear in the special issue on deep learning of IEEE Trans. on Pattern Analysis and Machine Intelligence. The task is to label all the pixels in an image with the category of the object it belongs to. This is sometimes called scene labeling, scene parsing, or semantic segmentation. The bottom line is that our system beat all previously published scene labeling systems on accuracy on three standard datasets: Stanford Bakground (8 classes), SIFTflow (33 classes) and Barcelona (170 classes). It also beat the best competitors by a factor of 100 in speed. Our system is a multiscale convolutional network trained in purely supervised mode (with backprop) to label each pixel. The decisions are then cleaned up by a simple post-processing (the simplest one consisting in taking the majority category within a superpixel). On Friday, February 21, 2014 11:02:12 AM UTC-6, Ted wrote: > > Sounds like the same for deep learning, heard this on NRP radio while > driving home yesterday: > > > http://www.npr.org/blogs/alltechconsidered/2014/02/20/280232074/deep-learning-teaching-computers-to-tell-things-apart > > On Wednesday, February 19, 2014 11:22:11 PM UTC-6, BenGoertzel wrote: >> >> >> http://www.technologyreview.com/news/524401/yahoo-launches-10-million-research-effort-to-invent-a-smarter-siri/#comments >> >> >> >> >> -- >> Ben Goertzel, PhD >> http://goertzel.org >> >> "In an insane world, the sane man must appear to be insane". -- Capt. >> James T. Kirk >> > ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
