Posts Tagged

cortical.io

Join us for an evening of exciting talks from Data Science Industry leaders and experts, followed by enough time for few beers, pizza and networking. We look forward to seeing you there! Event Schedule: 7:00 – 7:15 PM: Introduction Talk by Dataconomy 7:15 – 7:35 PM: Calvin Seward, Data Scientist

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Join us for an evening of exciting talks from Data Science Industry leaders and experts, followed by enough time for beers, food and networking. We look forward to seeing you there! 5:00 – 5:15 PM: Introduction by the organizers 5:15 – 5:35 PM: John Easton, IBM Distinguished Engineer, Lead Cloud Advisor:

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Machine learning
ConversationsData NativesMachine Learning

Francisco is the Founder and CEO of cortical.io, a machine learning company that develops Natural Language Processing solutions for Big Text Data. Francisco’s medical background in genetics combined with over two decade’s of experience in Information Technology, inspired him to create a groundbreaking technology, called Semantic Folding, which is based

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Data ScienceNews

With six top IT events under one roof, 300+ exhibitors and 300+ free seminar sessions, IP EXPO Europe is a must-attend IT event for CIOs, heads of IT, security specialists, heads of insight and tech experts. The event will take place on 7-8 October 2015, at ExCel, London. The event

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Data Science

TOP DATACONOMY ARTICLES How Big Data Is Changing The Insurance Industry Forever Our guest contributor this week, Bernard Marr, looks at how big data could impact the insurance industry. He concludes that big data in insurance will mean insurers combining the data already available to them will be able to build up

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Machine LearningNews

Cortical.io, an Austrian startup whose tech mimics brain function to process language more accurately and natively, have just announced an impressive new funding round. Reventon (NL) is a venture capital firm responsible for this considerable boost to Cortical.io’s coffers. With the new funding, cortical.io already have grand plans on how

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Machine Learning

Since Microsoft began working with deep learning neural networks in 2009, we’ve seen huge improvements in the way algorithms can detect our language and dialogue. IBM have continued to pour money and resources into the development of Watson; Apple have moved the development of Siri in-house, to improve its NLP

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