New research out of Stanford and Cornell points to a future where cars, and perhaps robots, can anticipate what we’ll do or want next.
Sourced through Scoop.it from: fortune.com
The Fujitsu Labs researchers then ran tests using 8 x 12-core servers and a 50 million record dataset. It claims that “existing techniques would take roughly one week to develop a predictive model with 96 per cent accuracy.“
With its preliminary machine learning algorithm selection run, its “technique reached that level in slightly more than two hours.” Going from one week to two hours is one heck of a speed up.
Sourced through Scoop.it from: www.theregister.co.uk