Sparse coding with an overcomplete basis set: a strategy employed by V1? Vision Res.

In particular, it is particularly amenable to machine learning and interactive data workloads, and can provide an order of magnitude greater performance than traditional Hadoop data processing tools. In this course, we will provide a deep-dive into Spark as a framework, understand it's design, how to optimally utilize it's design, and how to develop effective machine learning applications with Spark on HDInsight. The course covers the fundamentals of Spark, it's core APIs and design, relational data processing with Spark SQL, the fundamentals of Spark job execution, performance tuning, tracking and debugging. Users will get hands-on experience with processing streaming data with Spark streaming, training machine learning algorithms with Spark ML and R Server on Spark, as well as HDInsight configuration and platform specific considerations such as remote developing and access with Livy and IntelliJ, secure Spark, multi-user notebooks with Zeppelin, and virtual networking with other HDInsight clusters.

WASHINGTON – House Republican Majority Leader Rep. Kevin McCarthy says veterans need more educational opportunities that meet the demands of the fast-paced technology industry. The California lawmaker is introducing legislation Thursday giving the Department of Veterans Affairs $75 million to start a pilot program to provide accelerated computer courses in everything from robotics and basic programming to artificial intelligence and virtual reality. McCarthy, who is second-in-command to the House speaker, said the GI bill doesn't cover many such courses and the VA approval process for changing curriculums or course offerings creates bureaucratic delays that are not conducive to the quickly changing technology fields. Under his proposal, veterans, instead of going to a traditional college -- or in addition to a traditional degree -- could get a shorter-term nano degree or micro credential. "And they could be in the work force right away and be a major asset," McCarthy told USA TODAY.

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This paper introduces a new lifelong learning solution where a single model is trained for a sequence of tasks. The main challenge that vision systems face in this context is catastrophic forgetting: as they tend to adapt to the most recently seen task, they lose performance on the tasks that were learned previously. Our method aims at preserving the knowledge of the previous tasks while learning a new one by using autoencoders. For each task, an under-complete autoencoder is learned, capturing the features that are crucial for its achievement. When a new task is presented to the system, we prevent the reconstructions of the features with these autoencoders from changing, which has the effect of preserving the information on which the previous tasks are mainly relying. At the same time, the features are given space to adjust to the most recent environment as only their projection into a low dimension submanifold is controlled. The proposed system is evaluated on image classification tasks and shows a reduction of forgetting over the state-of-the-art

Lecture 1 introduces the concept of Natural Language Processing (NLP) and the problems NLP faces today. The concept of representing words as numeric vectors is then introduced, and popular approaches to designing word vectors are discussed. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component. For additional learning opportunities please visit: http://stanfordonline.stanford.edu/

Developing training programmes for a large group of sales or technical or services personnel is a challenging task as the programme is meant for a diverse group, and has to be engaging and meaningful for the participants. The programmes are mostly delivered at multiple locations, they have to be updated from time to time and at times, also require to be culturally sensitive to remain relevant as well as contemporary. Effective assessment strategy is also important to ensure the programmes meet the stated business objectives. In the digital era, there is a plethora of content available on the internet. A lot of it is free of cost via options such as MOOCs, Course Era, You Tube and others.

This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. This lecture series provides a thorough introduction to the cutting-edge research in deep learning appli... more

A quick, hassle-free way to stay on top of robotics news, our robotics digest is released on the first Monday of every month. Sign up to get it in your inbox. March is a month for change and new beginnings. The new UK Budget promised hundreds of millions of pounds to scientists and researchers to develop solutions to hi-tech challenges, including artificial intelligence and robotics, next generation batteries and new techniques for manufacturing medicines. The government is expected to allocate more than £500 million from the National Productivity Investment Fund so that UK companies might lead the way in the new technologies set to transform the world.