It is using broadcasting - numpy will make the dims match using this (read up on numpy broadcasting if you don't know how that works). Theano behaves in the same way. The downside to the broadcasting approach is that it generally uses a lot of intermediate memory since each 2D MxN matrix becomes MxMxN before then being combined and summed over N to get MxM distance calculations for M datapoints. However, it can be very fast (though I think the trick /u/NasenSpray linked is faster generally) if the intermediate memory usage is acceptable.

The power of artificial intelligence is beyond our imagination. We all know robots have already reached a testing phase in some of the powerful countries of the world. Governments, large companies are spending billions in developing this ultra-intelligence creature. The recent existence of robots have gained attention of many research houses across the world. Does it excite you as well? Personally for me, learning about robots & developments in AI started with a deep curiosity and excitement in me! Let's learn about computer vision today. The earliest research in computer vision started way back in 1950s.

During the dot-com boom, online clothing sales were predicted to grow to 40% -50% of total sales. Although online sales of some other kinds of merchandise, such as books, have reached 50% of the market in the past 15 years, the percentage of online clothing sales hovers around 20%. The difficulty in finding the correct size and fit is one of the primary reasons that consumers are reluctant to buy clothes online. And their concern is not groundless; sizing varies among clothing manufacturers, and it is difficult to ascertain fit from online images. Consequently, 30%-40% of online clothing purchases are returned.

We are on the cusp of an exponential shift in machine learning, the ability of a computer to automatically refine its methods and improve its results as it receives more data. For the last couple of years, technology giants such as Google, IBM and Microsoft have been in an arms race to construct artificial neural networks that mimic the human brain. Increased computing power, combined with access to very large data sets and advancements in machine learning algorithms, have augured in this new era. We can expect to see a surge in deep learning startups focused on areas such as speech and object recognition, robotics and finance. In the secretive world of hedge funds a very large artificial intelligence play involved Bridgewater Associates, the world's largest hedge fund, which launched a six-strong AI unit led by David Ferrucci, who joined the fund at the end of 2012.

Some 2 billion X-rays are performed around the world every year. But the average radiology clinic is understaffed. Radiologists are burdened with a growing workload, allowing little time to comprehensively evaluate images -- leading to misdiagnoses and more serious consequences. Now a Tel Aviv University lab is engineering practical solutions to meet the demands of radiologists. Prof. Hayit Greenspan's Medical Image Processing Lab in the Department of Biomedical Engineering in the TAU Faculty of Engineering has developed a wide variety of tools to facilitate computer-assisted diagnosis of X-rays, CTs and MRIs, freeing radiologists to attend to complex cases that require their full attention and skills.

Some 2 billion X-rays are performed around the world every year. But the average radiology clinic is understaffed. Radiologists are burdened with a growing workload, allowing little time to comprehensively evaluate images--leading to misdiagnoses and more serious consequences. Now a Tel Aviv University lab is engineering practical solutions to meet the demands of radiologists. Prof. Hayit Greenspan's Medical Image Processing Lab in the Department of Biomedical Engineering in the TAU Faculty of Engineering has developed a wide variety of tools to facilitate computer-assisted diagnosis of X-rays, CTs and MRIs, freeing radiologists to attend to complex cases that require their full attention and skills.

For more tech talks and to network with other engineers, check out our site https://www.hakkalabs.co/logs Matthew Zeiler, PhD, Founder and CEO of Clarifai Inc, speaks about large convolutional neural networks. These networks have recently demonstrated impressive object recognition performance making real world applications possible. However, there was no clear understanding of why they perform so well, or how they might be improved. In this talk, Matt covers a novel visualization technique that gives insight into the function of intermediate feature layers and the operation of the overall classifier.

Deep neural networks (DNN), like Google's DeepMind or the IBM Watson, are amazing machines. They can be taught to do many mental tasks like a human, and they represent our best shot to actual artificial intelligence. The challenge has always been training and teaching these machines. For most of the tasks they have to do, the machines tie up big-ticket supercomputers or data centers for days at a time. But scientists from IBM's T.J. Watson Research Center are poised to change all that.

The Deep Learning in Healthcare Summit will explore recent breakthroughs in technical advancements and healthcare applications, from algorithms that learn to recognise complex patterns within rich medical data, to analysing real world evidence for personalised medicine, to discovering the sequence specificities of DNA- binding proteins and how it can aid genome diagnostics.

Cloud application vendor Apttus is launching a new version of its quote-to-cash suite of applications that applies artificial intelligence from the Microsoft Azure Machine Learning service to help guide sales people to achieve higher performance. Launched today at the Microsoft Envision conference, the full suite of products is also notable for being available native on Azure as well as on the Salesforce platform. There are many customers, especially in Europe, that have no Salesforce presence and that really need quote-to-cash. Called the Apttus Intelligent Cloud, the new product applies artificial intelligence and deep learning technologies to discover and dynamically recommend actions that will help sales people increase the size and speed of deals. Apttus currently has six customers live with the new capabilities. Krappe says one early adopter expects to add between 1 and 2 percentage points to its total sales as a result of them improving the overall performance of its sales team.