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Read about the world's tallest building, the longest bicycle, the most modern tractor and a discovered time capsule that cannot be opened until the year 2957. Shoe manufacturer New Balance is stepping onto the 3-D printing platform with a new running shoe that incorporates a 3-D printed midsole that can be customized to each runner. New Balance is making the shoe available for the first time in Boston in April, 2016 -- timed to coincide with the Boston Marathon. It's difficult to believe that with all of the unrest in Iraq, a company such as AMBS Architects would propose building a skyscraper to rival Dubai's Burj Khalifa, which stands 830-meters high. But here it is: the 1,152-meter-tall Bride's tower.

Machine Learning on 2nd Generation Intel Xeon Phi Processors: Image Captioning with NeuralTalk2, Torch - Colfax Research


In this case study, we describe a proof-of-concept implementation of a highly optimized machine learning application for Intel Architecture. Our results demonstrate the capabilities of Intel Architecture, particularly the 2nd generation Intel Xeon Phi processors (formerly codenamed Knights Landing), in the machine learning domain. Download as PDF: Colfax-NeuralTalk2-Summary.pdf (814 kB) -- this file is available only to registered users. Register or Log In. or read online below. It is common in the machine learning (ML) domain to see applications implemented with the use of frameworks and libraries such as Torch, Caffe, TensorFlow, and similar.

An introduction to deep learning


Deep learning is impacting everything from healthcare to transportation to manufacturing, and more. Companies are turning to deep learning to solve hard problems, like speech recognition, object recognition, and machine translation. One of the most impressive achievements this year was AlphaGo beating the best Go player in the world. With the victory, Go joins checkers, chess, othello, and Jeopardy as games machines have defeated human at. While beating someone at a board game might not seem useful on the surface, this is a huge deal.

First computers recognized our faces, now they know what we're doing


We haven't designed fully sentient artificial intelligence just yet, but we're steadily teaching computers how to see, read, and understand our world. Last month, Google engineers showed off their "Deep Dream," software capable of taking an image and ascertaining what was in it by turning it into a nightmare fusion of flesh and tentacles. The release follows research by scientists from Stanford University, who developed a similar program called NeuralTalk, capable of analyzing images and describing them with eerily accurate sentences. First published last year, the program and the accompanying study is the work of Fei-Fei Li, director of the Stanford Artificial Intelligence Laboratory, and Andrej Karpathy, a graduate student. Their software is capable of looking at pictures of complex scenes and identifying exactly what's happening.