Machine Learning

University of Amsterdam Researchers Use Neural Networks to Improve Machine Translations

amsterdamLoek Essers of Tech World recently wrote, “Researchers at the University of Amsterdam are using neural networks to help a statistical machine translation systems learn what all human translators know — that the best translation of a word often depends on the context. Machine translation systems such as Google Translate or those at iTranslate4.eu guess how to translate words and phrases based on how often they appear in a large corpus of human-translated texts. Such tools are increasingly important as individuals and businesses seek to access information or buy products and services from other countries where different languages are spoken.” Read more

Oxdata’s CEO on the Intersection of Big Data and Machine Learning

oxdataJosiah Motley recently wrote, “Big data is big money, and a relative new-comer to the game is trying to make a big impact. 0xdata (pronounced hexadata), started by SriSatish Ambati, is that new-comer. Their current flagship product, simply titled H20, is an open source platform used to crunch huge amounts of data to more accurately display analytic results. It is able to compute these large data sets by combining machine learning with advanced mathematical algorithms. H20 allows for customers to their entire data sets, instead of sample sets which are traditionally used for such processes. We recently had a chance to talk with SriSatish Ammbati, CEO and co-founder of 0xdata to help shed more light on their product.” Read more

Microsoft’s Azure Machine Learning Hopes to Give Watson a Run for Its Money

azure-machine-learningJeffrey Schwartz of Redmond Magazine recently wrote, “Nearly a year after launching its Hadoop-based Azure HDInsight cloud analytics service, Microsoft believes it’s a better and broader solution for real-time analytics and predictive analysis than IBM’s widely touted Watson. Big Blue this year has begun commercializing its Watson technology, made famous in 2011 when it came out of the research labs to appear and win on the television game show Jeopardy. Both companies had a large presence at this year’s Strata + Hadoop World Conference in New York, attended by 5,000 Big Data geeks. At the Microsoft booth, Eron Kelly, general manager for SQL Server product marketing, highlighted some key improvements to Microsoft’s overall Big Data portfolio since last year’s release of Azure HDInsight including SQL Server 2014 with support for in-memory processing, PowerBI and the launch in June of Azure Machine Learning.” Read more

Predixion Software Removes Barriers to Deployment of Predictive Analytics With Release of Predixion Insight 4.0

PredixionSoftware-logo-300x125NEW YORK, NY–(Marketwired – Oct 15, 2014) – Strata + Hadoop World, Booth #103 -Predixion Software, a developer of cloud-based predictive analytics software, today released Predixion Insight 4.0, the latest version of its powerful predictive analytics platform. The new release expedites the deployment of predictive analytics directly to the point of front-line decisions, and expands predictive capabilities across a wider variety of production environments, such as applications, databases, data stores, real-time engines, devices and machines. By removing barriers to deploying predictive analytics, Predixion Insight 4.0 enables companies to achieve the full potential of their data investments. Read more

Google’s Machine Learning Can Fill in Your Spreadsheet For You

googleJordan Novet of Venture Beat reports, “Many people know Google first and foremost as a search engine company. But really it’s a machine-learning company, using data to make predictions that get incorporated into applications like search and advertising without people even realizing it. Today Google is announcing in a blog post that people can now choose to apply its machine-learning savvy to Google Sheets, the company’s spreadsheet app, to make educated guesses and fill in blank cells. This applied use of machine learning follows Microsoft’s recent announcement of a cloud-based service for that purpose, Azure Machine Learning.” Read more

IBM Unveils First Watson Machine-Learning APIs

WatsonSerdar Yegulalp of InfoWorld reports, “Those who have been chomping at the bit to use IBM’s Watson machine-intelligence service with their apps need gnaw no longer. Watson APIs are now available for public use, albeit only through IBM’s Bluemix cloud services platform. IBM’s Watson Developer Cloud now offers eight services for building what IBM describes as cognitive apps, with more services promised later on.” Read more

IBM Watson Accelerates Global Expansion

watsonNEW YORK – 07 Oct 2014: IBM is announcing significant milestones fueling adoption of Watson and cognitive computing cloud capabilities on a global scale. Watson is a groundbreaking platform that represents a new era of computing based on its ability to interact in natural language, process vast amounts of Big Data to uncover patterns and insights, and learn from each interaction.

On Tuesday, October 7, IBM Watson Group Senior Vice President Mike Rhodin demonstrates Watson at work in its Client Experience Center at its new global headquarters at 51 Astor Place in New York City’s Silicon Alley. Read more

Could “Amelia” Start Filling Low-Level Jobs?

Amelia_3053068bSophie Curtis of The Telegraph reports, “Today a new artificial intelligence computing system has been unveiled, which promises to transform the global workforce. Named ‘Amelia’ after American aviator and pioneer Amelia Earhart, the system is able to shoulder the burden of often tedious and laborious tasks, allowing human co-workers to take on more creative roles. ‘Watson is perhaps the best data analytics engine that exists on the planet; it is the best search engine that exists on the planet; but IBM did not set out to create a cognitive agent. Read more

Harnessing the Power of Deep Learning

5621803163_5772be9d8cCade Metz of Wired reports, “When Google used 16,000 machines to build a simulated brain that could correctly identify cats in YouTube videos, it signaled a turning point in the art of artificial intelligence. Applying its massive cluster of computers to an emerging breed of AI algorithm known as ‘deep learning,’ the so-called Google brain was twice as accurate as any previous system in recognizing objects pictured in digital images, and it was hailed as another triumph for the mega data centers erected by the kings of the web.” Read more

Your TV May Soon Tell You What You Want to Watch

nhkJohn Boyd of IEEE Spectrum reports, “With satellite, cable, and terrestrial TV stations broadcasting in the hundreds and Internet-based entertainment content companies also competing for viewers’ attention, finding something to watch is, strangely, a growing challenge. To help simplify the task, researchers at Japan’s public TV and radio broadcaster Nippon Hoso Kyokai, better known as NHK, plan to begin testing technology to automatically assess in real time a viewer’s interest in a TV program or video and then suggest other programs to watch based on the results.” Read more

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