Startups: To Localize or Not to Localize?

Wells Fargo’s recent International Business Indicator Survey indicated that 69 percent of businesses in the U.S. are conducting business internationally and 54 percent of mid-size U.S. businesses see international markets as increasingly important to their financial success. But where does that leave startups and early-stage companies? Setting the startup stage We can all appreciate the

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2nd Summer School on Integrating Vision & Language: Deep Learning – Preliminary Announcement

PRELIMINARY ANNOUNCEMENT iV&LSS 2016: Deep Learning The 2nd Summer School on Integrating Vision and Language 21?24 March 2016, University of Malta, Malta Organised by ICT COST Action IC1307 The European Network on Integrating Vision and Language (iV&L Net) – Combining Computer Vision and Language Processing For Advanced Search, Retrieval, Annotation and Description of Visual Data

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How machine learning will affect your business

Machine learning techniques may have been used for years, but recently there has been an explosion in their applications. In fact, in a recent Q3 earnings call, Google CEO Sundar Pichai said “Machine learning is a core, transformative way by which we’re re-thinking how we’re doing everything.” And they’re far from the only business making

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NAACL 2016 Student Research Workshop (SRW)

NAACL 2016 Student Research Workshop (SRW) CALL FOR PAPERS ### NAACL 2016 Student Research Workshop (SRW) ### The SRW workshop will be held in conjunction with NAACL HLT 2016 in Diego, California. Main conference: June 13-15, 2016 Paper Submission Deadline: March 11, 2016 (11:59pm PST) ### General Invitation for Submission #### The Student Research Workshop

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[SIMPDA2015] BLACK FRIDAY: Early Registration extended until 28/11/2015

With the increasing automation of business processes, growing amounts of process data become available. This opens new research opportunities for business process data analysis, mining and modeling. The aim of the IFIP 2.6 International Symposium on Data-Driven Process Discovery and Analysis is to offer a forum where researchers from different communities and the industry can

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Predicting change in the Alzheimer’s brain

MIT researchers are developing a computer system that uses genetic, demographic, and clinical data to help predict the effects of disease on brain anatomy. In experiments, they trained a machine-learning system on MRI data from patients with neurodegenerative diseases and found that supplementing that training with other patient information improved the system’s predictions. In the

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