bannable writes: Inside Google’s secretive X laboratory, known for inventing self-driving cars and augmented reality glasses, a small group of researchers began working several years ago on a simulation of the human brain.
Andrew Y. Ng, a Stanford computer scientist, is cautiously optimistic about neural networks. There Google scientists created one of the largest neural networks for machine learning by connecting 16,000 computer processors, which they turned loose on the Internet to learn on its own.
Presented with 10 million digital images found in YouTube videos, what did Google’s brain do? What millions of humans do with YouTube: looked for cats.
redletterdave writes: "On Friday, more than 1,300 employees of London-based Aviva Investors walked into their offices, strolled over to their desks, booted up their computers and checked their emails, only to learn the shocking news: They would be leaving the company. The email ordered them to hand over company property and security passes before leaving the building, and left the staff with one final line: "I would like to take this opportunity to thank you and wish you all the best for the future. "This email was sent to Aviva's worldwide staff of 1,300 people, with bases in the U.S., UK, France, Spain, Sweden, Canada, Italy, Ireland, Germany, Norway, Poland, Switzerland, Belgium, Austria, Finland and the Netherlands. And it was all one giant mistake: The email was intended for only one individual."
hypnosec writes: Part of the experience many a Facebooker enjoys is the number of friend requests we take great delight in confirming — and denying. The problem is, many of those requests we end up rejecting are due to 'enemies' looking us up, and the last thing users wish to do is share their nearest and dearest personal data with these Facebook foes. However, what if we could turn such data into 'enemies'? An app named 'EnemyGraph' has been developed by two students and a professor from the University of Texas in order to list personal Facebook preferences — such as people or even food — as potential enemies. Conceptualized by Dean Terry, the app was built by undergraduate student Harrison Massey and graduate Bradley Griffith; with the service already scoring 400 users.