Christopher Tozzi of The VAR Guy reports, “PredictionIO, the open source machine learning platform, has received a big boost with the announcement of $2.5 million in seed funding, which it plans to use to make its automated data interpretation and prediction platform widely available to open source developers. PredictionIO’s goal is to make it easy for developers and companies of all sizes to integrate machine learning —i.e., software that can interpret data intelligently to make automated decisions and predictions—into their products. ‘PredictionIO aims to be the Machine Learning server behind every application,’ according to the company. ‘Building Machine Learning in software will be as common as search soon with PredictionIO’.” Read more
Daniel Day of News at Princeton reports, “Princeton University has established the Center for Statistics and Machine Learning. John Storey, a professor of molecular biology and the Lewis-Sigler Institute for Integrative Genomics, has been named the center’s director. The center will anchor the teaching of and research in statistics and machine learning on campus, Storey said, offering an undergraduate certificate as well as graduate training in the field.” Read more
Senzari Unveils MusicGraph.ai at the GraphLab Conference 2014, Showcasing the Music Industry’s First Graph Analytics and Intelligence Engine
SAN FRANCISCO–(BUSINESS WIRE)–Today Senzari® introduced MusicGraph.ai, the first web-based graph analytics and intelligence engine for the music industry at the GraphLab Conference 2014, the annual gathering of leading data scientists and machine learning experts. MusicGraph.ai will serve as the primary dashboard for MusicGraph®, where API clients will be able to view detailed reports on their API usage and manage their account. More importantly, through this dashboard, they will also be able to access a comprehensive library of algorithms to extract even more value from the world’s most extensive repository of music data.
“We believe that in MusicGraph’s first iteration we democratized music data access, and now, with MusicGraph.ai, we are democratizing music knowledge. Most impressively, our team was able to make this leap possible in just months, not years.” Read more
SAN DIEGO — Teradata (NYSE: TDC), the analytic data platforms, marketing applications, and services company, today announced two acquisitions that accelerate the growth of its big data capabilities.
On July 16th, Teradata acquired assets of Revelytix, a leader in information management products for big data with unique metadata management technology and deep expertise in integrating information across the enterprise. On July 17th, Teradata acquired assets of Hadapt, including experienced big data technologists and intellectual property. Read more
On his personal website, Frederick Giasson reports, “We just released a new UMBEL web service endpoint and online tool: the Concept Tagger Plain. This plain tagger uses UMBEL reference concepts to tag an input text. The OBIE (Ontology-Based Information Extraction) method is used, driven by the UMBEL reference concept ontology. By plain we mean that the words (tokens) of the input text are matched to either the preferred labels or alternative labels of the reference concepts. The simple tagger is merely making string matches to the possible UMBEL reference concepts.” Read more
Daniela Hernandez of Wired reports, “Drawing on the work of a clever cadre of academic researchers, the biggest names in tech—including Google, Facebook, Microsoft, and Apple—are embracing a more powerful form of AI known as ‘deep learning,’ using it to improve everything from speech recognition and language translation to computer vision, the ability to identify images without human help. In this new AI order, the general assumption is that Google is out in front… But now, Microsoft’s research arm says it has achieved new records with a deep learning system it calls Adam, which will be publicly discussed for the first time during an academic summit this morning at the company’s Redmond, Washington headquarters.” Read more
Pedro Hernandez of eWeek reports, “‘Mobile-first, cloud-first’ may be Microsoft’s new mantra, but another term has been has been increasingly creeping into the company’s lexicon of late. As one of the components of Microsoft’s growing slate of smart services, machine learning is also guiding part of the company’s product strategy, according to Microsoft Research Distinguished Scientist John Platt. First, it helps to know how his company classifies machine learning (ML). ‘In general, ML converts data sets into pieces of software, known as ‘models,’ that can represent the data set and generalize to make predictions on new data,’ explained Platt in Microsoft’s new Machine Learning Blog.” Read more
M2M World News reports, “A consortium of more than 40 UK-based technology companies funded by the UK’s innovation agency, Technology Strategy Board, has delivered on the first phase of its initiative to accelerate the widespread move to the Internet of Things (IoT). HyperCat is a new open IoT specification that allows machines to work together over the Internet and for applications to discover and make sense of data automatically without human intervention. In just 12 months and with £6.4 million funding from the Technology Strategy Board, development teams from major companies including ARM, BT and IBM have worked alongside UK start-ups and UK University Departments to break down vertical data silos and find a foundation for connected products and applications to interoperate.” Read more
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