Machine Learning

Google Researchers Use End-to-End Neural Network To Caption Pictures

pizzaGoogle researchers have announced the development of a machine-learning system that can automatically produce captions to accurately describe images in properly formed sentences the first time it sees them.

“This kind of system could eventually help visually impaired people understand pictures, provide alternate text for images in parts of the world where mobile connections are slow, and make it easier for everyone to search on Google for images,” report research Scientists Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan in a blog about how they’re building a neural image caption generator.

Getting there, the researchers say, involved merging recent computer vision and language models into a single jointly trained system that can directly produce a human readable sequence of words to describe a given image. The task is no easy one, they point out, explaining that unlike image classification or object recognition on its own, their work has to account not only for the objects contained in the image, but also for expressing how these objects relate to each other, as well as their attributes and the activities they are involved in.

The approach leverages an end- to-end neural network that can automatically view an image and generate a plan English description of it.

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Cornell Announces New Connected Experiences Laboratory

cornell_big_red_logoThe Cornell Chronicle reports that “AOL, the Jacobs Technion-Cornell Institute at Cornell Tech and New York City officials have announced the creation of the Connected Experiences Laboratory, or ConnX, aimed at exploring new technologies at the forefront of the digital age. Announced Nov. 12, an AOL gift will fund a four-year partnership between New York City-based AOL and Cornell Tech. The collaboration will extend to the Technion – Israel Institute of Technology, Cornell’s partner in the Jacobs Institute, with part of the gift supporting activities at the Technion in coordination with AOL Israel.” Read more

Eversight Transforms In-Store Promotions with Machine Learning and Predictive Analytics

eversightPALO ALTO, Calif.–(BUSINESS WIRE)–Eversight™, the leading provider of software designed to improve promotion effectiveness and make better use of trade promotion dollars, announces Eversight for Consumer Goods™, a cloud-based Offer Innovation solution that enables retailers and consumer goods manufacturers to try out thousands of different promotions with real shoppers on digital platforms. Micro-testing provides insights useful for informing the traditional in-store promotional calendar, which represents more than $300B in spending in the U.S. annually. Multiple top consumer goods manufacturers, including Unilever and BIC, currently use the solution.

Built on the Eversight Cloud platform, Eversight for Consumer Goods leverages recent advances in predictive analytics, machine learning, and data science to enable manufacturers to optimize in-store promotions by real-world-testing hundreds or thousands of different promotional offers. Read more

Microsoft Gives Free Access to Azure Machine Learning

azure-machine-learningJordan Novet of Venture Beat recently wrote, “Maybe you’ve been holding off on using Microsoft recently announced Azure Machine Learning service for building models to incorporate into applications. Maybe you don’t want to pay money for that sort of service. If that’s the case, you’ll welcome a recent development coming out of the PASS Summit in Seattle. Microsoft executives on the scene there announced that the company is opening up Azure Machine Learning to free access. That means you don’t need to plug in your credit card information if you want to try it.” Read more

Sprylogics Develops Innovative Mobile Application to Address Sports Information Market

sprylogicsNov 5, 2014 8:30 a.m. ET — Sprylogics International Corp. (“Sprylogics” or the “Company”) (SPY), a technology provider of local mobile search, semantic search and messaging solutions for consumers and businesses is pleased to announce that it has developed a new app, “Breaking Sports.”

Breaking Sports tracks social media in real-time for significant sports information and events and distributes summarized information through real-time push notifications to consumers. By utilizing advanced artificial intelligence techniques, Breaking Sports can detect events as they happen and as they are announced in social media, determine nature of the events, attribute events to participants, summarize source articles, index the underlying information, provide search of events and articles and send alerts to fantasy players, sport fans and enthusiasts. Read more

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

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