Current Old News
Showing posts with label VR. Show all posts
Showing posts with label VR. Show all posts

Wednesday, October 12, 2016

Closed Liberty; Church Bathrooms; Russia's Regress Begins; Aussies Block (ish) SSM; Drugged Out; Bio-Hacking at the Top; Censoring the Censors; Nod to Pay; Nano Transistor; Spacey Brain; Houthi in the Machine; and Drone Death

Society

Christian-owned bakery in Oregon closes after religious freedom fight results in steep fines christiandaily

On Sept. 29, the Christian-owned bakery Sweet Cakes thanked the people who prayed for and supported the business, but at the same time announced that the bakery has already closed. No explanation was provided on the Facebook statement, Catholic News Agency details.

According to Q13 Fox News, Sweet Cakes' storefront in Oregon has been closed since 2013. However, owners Aaron and Melissa Klein continued to operate their business from their home. Their legal representative Hiram Sasser explained that the bakery was closed "months ago" but the couple still received inquiries for possible orders, thus the Facebook announcement.

Tuesday, April 19, 2016

SecurAIty; Future Tech Dream'n; When Reality is Fantasy; Pepper Goes for a Sail; Bentley Been There; Egyptian Amulet Found at Temple Mount; Israel Makes U.S. So...GRRR!; Merkel and Abbas Joining Hands; Ecuador's Shaken and out of Cash; Partial for Turkey (Mosques); Ancient Lizards Sure Look Modern; Old Rocket Scuffle; Circuit Court Trans-Sends Virginia Out; and the Joys of Global Rule Making

Things are heating up between the US and Israel, Bentley talks about what it's going to do now that peasants will be driven around also, and a long, fascinating look at how a "mixed-reality" company intends to shape our future-reality.

AI

MIT develops system that can detect 85% of cyberattacks using artificial intelligence ibtimes.co.uk

Rather than requiring cybersecurity analysts to spend all day analysing huge amounts of data that may or may not be a sign that cybercriminals are attacking a network, AI2 is instead trained to pick out the 200 most abnormal events it has detected during that day.

The human expert looks at the events and picks out which events relate to a cyberattack, and as days pass by, the computer learns how to identify more and more of the events as attacks, accurately, by itself – meaning that, eventually, the cybersecurity analyst might only need to look at 30-40 flagged events per day.