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Why the Financial Sector in India is betting big on Chatbots

Why the Financial Sector in India is betting big on Chatbots Banking gets smarter with as Deep Learning and NLP technologiesHere’s a common scenario in the financial sector – high volume customer support tasks are being standardized and executed by chatbots or software applications that can be scaled up accordingly and are streamlining operations.  From insurance discovery, buying and renewal to handling da ...

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Yahoo supercharges TensorFlow with Apache Spark 

Yahoo, model Apache Spark citizen and developer of CaffeOnSpark, which made it easier for developers building deep learning models in Caffe to scale with parallel processing, is open sourcing a new project called TensorFlowOnSpark. The pairing of Spark and TensorFlow should make the deep learning framework more attractive to developers who are creating models that need to run on large computing clusters. Fo ...

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IoT And Big Data At Caterpillar: How Predictive Maintenance Saves Millions Of Dollars

When it comes to big data and Internet of Things (IoT) initiatives most companies are still in the design or early adoption phases which make it hard to get a solid return on investment (ROI) figures.  So it’s refreshing to share a story of an organization delivering real-world ROI for their customers by vastly ramping up their data collection and predictive maintenance analytics. The Marine Division of Cat ...

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Research Blog: Using Machine Learning to predict parking difficulty

"When Solomon said there was a time and a place for everything he had not encountered the problem of parking his automobile." -Bob Edwards, Broadcast Journalist Much of driving is spent either stuck in traffic or looking for parking. With products like Google Maps and Waze, it is our long-standing goal to help people navigate the roads easily and efficiently. But until now, there wasn’t a tool to address th ...

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Beyond vectors: efficiency in Natural Language Processing

NYU MSDS student Raul Delgado Sanchez talks diffusion maps When you text a friend saying ‘I’ll fall you later’, how does your iPhone know to correct ‘fall’ to ‘call’? Auto-correct owes its prowess to a field that continues to gain paramount importance among computer scientists, and is an especially lively area of study at our very own Center for Data Science: Natural Language Processing (NLP). Generally spe ...

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SAPVoice: How to Solve IoT’s Big Data Challenge with Machine Learning

Machine learning will come of age this year, moving from the research labs and proof-of-concept implementations to cutting-edge business solutions. Along the way, it will help power innovations, such as autonomous vehicles, precision farming, therapeutic drug discovery and advanced fraud detection for financial institutions. Machine learning intersects with statistics, computer science and artificial intell ...

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Beyond vectors: efficiency in Natural Language Processing – Medium

When you text a friend saying ‘I’ll fall you later’, how does your iPhone know to correct ‘fall’ to ‘call’? Auto-correct owes its prowess to a field that continues to gain paramount importance among computer scientists, and is an especially lively area of study at our very own Center for Data Science: Natural Language Processing (NLP). Generally speaking, part of NLP research involves calculating ‘the joint ...

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Distributed Deep Learning with Apache Spark and Keras | Databases at CERN

In the following blog posts we study the topic of Distributed Deep Learning, or rather, how to parallelize gradient descent using data parallel methods. We start by laying out the theory, while supplying you with some intuition into the techniques we applied. At the end of this blog post, we conduct some experiments to evaluate how different optimization schemes perform in identical situations. We also intr ...

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Top 10 Hot Artificial Intelligence (AI) Technologies

The market for artificial intelligence (AI) technologies is flourishing. Beyond the hype and the heightened media attention, the numerous startups and the internet giants racing to acquire them, there is a significant increase in investment and adoption by enterprises. A Narrative Science survey found last year that 38% of enterprises are already using AI, growing to 62% by 2018. Forrester Research predicte ...

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IBM adds TensorFlow support to its PowerAI | ZDNet

IBM said it is offering support for Google's open source machine learning technology TensorFlow with its PowerAI software. The move highlights ongoing collaboration between tech giants in the AI space including Google, Nvidia, IBM, and AMD. According to IBM, TensorFlow has become popular among enterprises looking to use deep learning frameworks. By offering PowerAI support, enterprises will have more option ...

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