This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Miroslav Batchkarov and other experts will be giving talks

There is general agreement that language is the key to AI, but who holds the key to language – algorithms or people? According to the hype, the key to automated natural language understanding lies in vast data collections containing millions of words coupled with machine learning algorithms. If you believe

Andrew joined Etsy in 2014, and lives in London, making him their first data scientist who lives outside the USA. Prior to Etsy he spent almost 15 years designing machine learning workflows, and building search and analytics services, in academia, startups and enterprises, and in an ever-growing list of research

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

Luminoso, a US-based text analytics startup, announced on Tuesday $6.5 million in Series A funding. The round was led by Acadia Woods, with participation from Digital Garage also. Luminoso grew out of MIT’s Media Lab and has developed artificial intelligence software that promises to help companies understand and derive meaning

Since 2003, New York has been using the “311” service to field non-emergency calls and questions. In a thriving and ever-developing hub such as New York, there have been alot of questions to answer- the Manhattan call centre receives 60,000 enquiries a day via phone, text, web and mobile app.

Hamed Pirsiavash, a postdoctoral scholar from MIT, is developing a new activity-recognition algorithm to identify what’s happening in video files. Pirsiavash and his former thesis advisor, Deva Ramanan of the University of California at Irvine, will present the video recognition programme at the Conference on Computer Vision and Pattern Recognition