In-Memory Computing Summit 2016

In-Memory Computing Summit 2016

The best minds of the In-Memory Computing industry will gather in San Francisco on May 23-24 for IMC Summit 2016 to network, learn and exchange ideas that will power the future of ...

Big Data Analytics at FaceBook

Big Data Analytics at FaceBook

This meetup will be an “unconference” style one and will have various presentations to choose from. Please review the topics below and upon registering, select your 2 preferred top ...

Data Warehousing With Google BigQuery

Data Warehousing With Google BigQuery

Data warehousing and the resulting business intelligence are the basic necessities of business today. And today’s technologies makes it possible to have a sophisticated data wareho ...

Innovative Big Data Application Optimizes Lead Conversions, built on the Google Cloud Platform – CASE STUDY

Innovative Big Data Application Optimizes Lead Conversions, built on the Google Cloud Platform – CASE STUDY

In the era of Big Data, many enterprise executives are struggling with the sheer volume of available data and how to transform all that information into intelligence they can use t ...

Predictive policing: The future of law enforcement

Predictive policing: The future of law enforcement

As Dj Das, founder and CEO of Third Eye Consulting Services, sums it up, “For fighting crime and keeping every citizen safe, Microsoft has the most sophisticated cloud-based big da ...

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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Really Big Data At Walmart: Real-Time Insights From Their 40+ Petabyte Data Cloud

Walmart – the world’s biggest retailer with over 20,000 stores in 28 countries, is in the process of building the world’ biggest private cloud, to process 2.5 petabytes of data every hour. To make sense of all of this information, and put it to work solving problems, the company has created what it calls its Data Café – a state-of-the-art analytics hub located within its Bentonville, Arkansas headquarters. ...

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Amazon Web Services’ secret weapon: Its custom-made hardware and network – GeekWire

It’s not unusual for internet and software giants to design and even make their own hardware, to increase efficiency and build a competitive advantage. Google custom-designs its own servers, filling them with millions of chips from Intel, and announced in May that it has designed its own application-specific integrated circuit (ASIC) for use on neural networks. Facebook uses its own switches in its data cen ...

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Ethics — the next frontier for artificial intelligence | TechCrunch

AI’s next frontier requires ethics built through policy. Will Donald Trump deliver? With one foot in its science fiction past and the other in the new frontier of science and tech innovations, AI occupies a unique place in our cultural imagination. Will we live into a future where machines are as intelligent — or frighteningly, more so — than humans? We have already witnessed AI predict the outcome of the l ...

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Use Neural Networks to Find the Best Words to Title Your eBook – Data Science Central

Introduction The eBook business is thriving. The likes of Amazon Kindle, Apple iBookstore, and Google eBookstore all provide a robust variety of channels by which to publish any eBook on any subject you could think of.  Amazon generates an average of 1.07MM in eBook paid sales volume, which translates to about $5.8MM in revenue, every day. A huge community of eBook followers exist due to its proven model to ...

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