New VPN Called 'Exidio dVPN' Runs on Sentinel's Node Network

Exidio is a new decentralized VPN application that uses the Sentinel blockchain, which itself is part of the Cosmos ecosystem. “Exidio dVPN is rewriting the true definition of what it means to be a VPN. This is made possible by the Sentinel blockchain where all the global, distributed nodes are sharing their available and unused bandwidth. So as long as the Sentinel blockchain stays active, the network of nodes that offer bandwidth to the network remain active.” Exidio claims that traffic is end-to-end encrypted with proven no data logging.

Google Sets Out Plan For News Content to French Antitrust Regulator

Google has set out a plan for paying news agencies and publishers to French antitrust regulators. The proposals will now be put to public consultation, with responses required by January 31, 2022, Reuters reported. Google’s influence on the news business is obviously far more significant than Apple’s, although I imagine Cupertino will be keeping a keen eye on how this plays out.

News organizations, which have been losing ad revenue to online aggregators such as Google and Facebook (FB.O), have complained for years about tech companies using stories in search results or other features without copyright payment. As part of its proposals, Google commits to negotiate “in good faith” with news agencies and publishers the amount it would pay for using their protected content. It also commits to making a payment offer within three months from the start of the negotiation. If a deal cannot be reached, it would be possible to go to an arbitration court that would decide on the amount to pay.

This Roboticist Says a Major Robotics Revolution is Around the Corner

ZDNet interviewed Pieter Abbeel, a professor of electrical engineering and computer science at the University of California, Berkeley. He says a major revolution is coming thanks to machine vision.

Giving robots the gift of sight completely changes what’s possible. Computer Vision, the area of AI concerned with making computers and robots see, has undergone a night-and-day transformation over the past 5-10 years — thanks to Deep Learning. Deep Learning trains large neural networks (based on examples) to do pattern recognition, in this case pattern recognition enabling understanding of what’s where in images. And then Deep Learning, of course, is providing capabilities beyond seeing.