80% of data scientists will have deep learning in their toolkits by 2018, predicts Gartner
“Deep learning is here to stay...it ultimately solves complex, data-rich business problems.”
“Deep learning is here to stay...it ultimately solves complex, data-rich business problems.”
Solarcity rolls out AI chatbot online service ‘Sunny’
Peter Gray explains how machine learning gave cycling fans across the globe an unprecedented experience of the event this year.
An international group of artificial intelligence and robotics experts have signed an open letter to the United Nations to halt the use of autonomous weapons they say threaten to create a ‘third revolution in warfare’.
IBM touts current and future uses of AI at first Watson Summit in New Zealand.
Inside Gartner’s 2017 Hype Cycle for Emerging Technologies
Machine learning will be used to forecast future attendance and visitor engagement to one of the top museums in the world, says Dexibit CEO Angie Judge
Thematic CEO Alyona Medelyan shares valuable insights from her work with customer insight professionals and analysts.
At a demonstration of Amazon Web Services new artificial intelligence image recognition tool last week, the deep learning analysis calculated with near certainty that a photo of speaker Glenn Gore depicted a potted plant.
So often when technology companies announce a fancy new feature, they’re adding something to their repertoire. This time, we’re taking a function away, and handing it to a robot, writes Luke Gumbley of Xero.
Says new automation will collectively save SMBs a working month every day for each second it shaves off the average edit time
Machine learning capabilities will be found on smartphones, drones and unforeseen new technologies.
People now use the likes of AirBnB, Uber and Amazon as benchmarks for service and innovation - so how can organisations meet this shift in customer expectations? Two speakers at a CIO leaders’ luncheon share pointers.
Symantec's list of security predictions for 2017 and beyond.
The six factors to consider when deciding to invest in machine learning