Tag Archive for semantic technology

Lexalytics Unveils Industry’s First Wizard for Text Mining and Sentiment Analysis

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by Angela Guess A new article out of the company reports, “Lexalytics®, the leader in cloud and on-prem text and sentiment analytics solutions, today announced the availability of the first-ever wizard and graphical user interface (GUI) for its Semantria® software-as-a-service (SaaS) platform and Excel plugin. The new wizard, called SWIZ, is part of the Semantria…

MIT Develops Probabilistic Programming Language, Picture, to ID Images & Video

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by Angela Guess Techworld recently reported, “MIT researchers are developing a new programming language, called Picture, that could significantly cut the amount of coding needed to help computers recognise objects in images and video.A prototype, to be unveiled in June at the Computer Vision and Pattern Recognition conference will reveal how probabilistic programming could reduce…

Lexalytics’ Latest International Language Support Adds Arabic, Russian, and Dutch

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by Angela Guess According to a new article out of the company, “Lexalytics, the leader in cloud and on-prem text and sentiment analytics solutions, announced today that it has expanded its breadth of language capabilities to include Arabic, Russian, and Dutch. With this addition, Lexalytics now supports 16 international languages. ‘Our focus on expanding global…

Stardog 3 Released, Leads Semantic Graphs in Enterprise Adoption

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by Angela Guess The team at Complexible Inc., the team behind the Stardog Semantic Graph Database, recently announced, “the release of Stardog 3, the most advanced version of the industry-leading semantic graph system. Stardog 3 features high availability cluster, improved query and write performance, and enterprise-class features like LDAP integration, full Maven support, and a…

TopQuadrant Launches TopBraid Reference Data Manager

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by Angela Guess A new article out of the company reports, “TopQuadrant™, a leading enterprise metadata and semantic data integration company, today announced the release of TopBraid Reference Data Manager™ (TopBraid RDM). With a simple point-and-click, forms-based interface TopBraid RDM makes it easy to bring consistency and accuracy to reference data management. As a Silver…

Watson Hosts First International University Case Competition

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by Angela Guess Pamela Induni recently wrote in the IBM Smarter Planet blog, “It’s been a busy start to the year for IBM’s Watson University Programs as we expand our efforts to bring together the best and brightest student minds to apply Watson and cognitive computing technology in new and interesting ways. In fact, I’m…

Tensor Methods for Machine Learning

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by Angela Guess Ben Lorica recently wrote for the O’Reilly Radar, “Data scientists frequently find themselves dealing with high-dimensional feature spaces. As an example, text mining usually involves vocabularies comprised of 10,000+ different words. Many analytic problems involve linear algebra, particularly 2D matrix factorization techniques, for which several open source implementations are available. Anyone working…

A DIY Guide to Deep Learning Hardware

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by Angela Guess In his blog, Tim Dettmers recently wrote, “Deep Learning is very computationally intensive, so you will need a fast CPU with many cores, right? Or is it maybe wasteful to buy a fast CPU? One of the worst things you can do when building a deep learning system is to waste money…

The Growing Role of Machine Learning in Cyber Security

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by Angela Guess Rachel King recently wrote for the Wall Street Journal blog, “Artificial intelligence and machine learning are playing a larger role in cybersecurity, which can in theory help companies identify risks and anticipate problems before they occur. The idea is to create software that can adapt and evolve to combat ever-changing attack strategies,…

How to Keep Machine Learning From Becoming a Big Data Bottleneck

Data Daily Machine Learning

by Angela Guess Jack Vaughn of SearchDataManagement recently wrote, “The recent rush of machine learning technology and products is formidable, but machine learning techniques are far from new. What’s new is the number of parallelized data processing platforms becoming available for machine learning applications of big data. At the recent Strata + Hadoop World conference…