{"id":3508,"date":"2020-02-12T00:59:44","date_gmt":"2020-02-11T21:59:44","guid":{"rendered":"http:\/\/www.artificialbrain.xyz\/?p=3508"},"modified":"2020-02-12T11:25:44","modified_gmt":"2020-02-12T08:25:44","slug":"recent-breakthroughs-in-deep-learning-and-artificial-intelligence-ai","status":"publish","type":"post","link":"https:\/\/www.newworldai.com\/recent-breakthroughs-in-deep-learning-and-artificial-intelligence-ai\/","title":{"rendered":"Recent Breakthroughs in Deep Learning and Artificial Intelligence"},"content":{"rendered":"

Deep learning has been a popular research area due to major successes in perception tasks such as speech recognition and object classification. <\/span><\/strong><\/p>\n

In the first part of the talk, Oriol Vinyals will give a brief overview of the main concepts of deep learning. He\u00a0will focus on recent advances on a topic that his group has been especially actively working on: natural language processing and understanding using Recurrent Neural Networks (RNNs). <\/span><\/p>\n

In the past year, RNNs have done exceptionally well at learning to decode sequences of symbols from input signals. In the main part of this talk, Oriol Vinyals will review some recent successes on machine translation, image understanding, and beyond and finish the talk with a discussion of some of the next challenges for deep learning, and some exciting research and applications that people in the field have started looking at.<\/span><\/p>\n