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
In his presentation, “What does it take to make Google work at scale?” Schwarzkopf discusses the architecture behind those 139 microseconds between submitting a search request in the Google input bar, and the pages of ads-and-search results that are returned.
Sourced through Scoop.it from: thenewstack.io
Imagine a world where commercial agreements are executed by digital smart contracts. Where the contract and payments are actually tied together by mathematical rules of the blockchain.
A commercial term like “Net-30” that obligates a business to pay its invoice in 30 days, could be automatically executed on the day it’s due. Or an agreement to pay on delivery could track that the product actually was received and signed off on as in good order, before payment is released.
Escrow systems, third-party agents, and intermediary networks could be rethought to be far more efficient.
Or perhaps even more exciting is the ability for business-to-business blockchains to enable digital native payment networks that can instantly settle funds directly between parties.
Sourced through Scoop.it from: www.coindesk.com
Last year, a Spotify intern named Sander Dieleman applied a powerful machine learning technology called “deep learning” to their database, allowing the program to learn to analyze music. The neural network automatically — using nothing but raw audio data — came to recognize distinctive patterns in the music.
Sourced through Scoop.it from: www.makeuseof.com