Information leaked suggests that talks are well advanced between the two companies.

Anecdotal evidence from many Facebook users suggests that talks are well advanced and the companies are already sharing experimental data, between themselves, of user data. Other sources suggest that Microsoft (Vole) is also interested in Facebook and, conversely, that Facebook is interested in buying Microsoft.

None of the companies cared enough to comment to Fudzilla at press time.

Courtesy-Fud

The limited testing on Messenger, which has more than 900 million users, comes three months after Facebook rolled out end-to-end encryption to its more popular WhatsApp, a messaging application with over 1 billion users that it acquired in October 2014.

The move comes amid widespread global debate over the extent to which technology companies should help law enforcement snoop on digital communications.

End-to-end encryption is also offered on Apple Inc’s iMessage platform as well as apps including LINE, Signal, Viber, Telegram and Wickr.

Facebook Messenger uses the same encryption technology as WhatsApp, which uses a protocol known as Signal that was developed by privately held Open Whisper Systems.

“It seems well designed,” said Matthew Green, a Johns Hopkins University cryptologist who helped review an early version of the protocol for Facebook.

While WhatsApp messages are encrypted by default, Facebook Messenger users must turn on the feature to get the extra additional security protection, which scrambles communications so they can only be read on devices at either end of a conversation.

Facebook said that it was requiring users to opt in to encryption because the extra security is not compatible with some widely used Messenger features.

“Many people want Messenger to work when you switch between devices, such as a tablet, desktop computer or phone,” the company said in an announcement on its website. “Secret conversations can only be read on one device and we recognize that experience may not be right for everyone.”

Facebook also said that Messenger users cannot send videos or make payments in encrypted conversations.

Courtesy-http://www.thegurureview.net/aroundnet-category/end-to-end-encryption-comes-to-facebook-messenger.html

Twitter, which provides Dataminr with real-time access to public tweets, seems to be trying to distance itself from appearing to aid government surveillance, a controversial issue after former National Security Agency contractor Edward Snowden revealed that the government was collecting information on users through Internet and telecommunications companies.

Executives of Dataminr told intelligence agencies recently that Twitter, which holds around 5 percent of the equity in the startup and provides the data feed, did not want the company to continue providing the service to the agencies.

Twitter’s move appears to be in line with its policy on the use of its tweet data by external companies.

“Dataminr uses public Tweets to sell breaking news alerts to companies such as Wall Street Journal parent Dow Jones and government agencies such as the World Health Organization, for non-surveillance purposes,” Twitter said in a statement Sunday. “We have never authorized Dataminr or any third party to sell data to a government or intelligence agency for surveillance purposes.”

U.S. intelligence agencies gained access to Dataminr’s service after In-Q-Tel, aventure capital organization backed by U.S. intelligence agencies, put money in the firm, the WSJ said, quoting a person familiar with the matter. Twitter is said to have conveyed to Dataminr that it didn’t want to continue the relationship with intelligence agencies at the end of a pilot by the data analysis firm arranged by In-Q-Tel. Dataminr does not figure in the list of In-Q-Tel portfolio companies on its website.

Source-http://www.thegurureview.net/uncategorized/twitter-blocks-intelligence-agencies-access-to-tweet-analytics.html

Groupon filed its lawsuit on Monday with the federal court in its hometown of Chicago, two months after IBM accused Groupon of patent infringement in a separate lawsuit.

“IBM is trying to shed its status as a dial-up-era dinosaur” by infringing the rights of “current” technology companies such as Groupon, according to Groupon spokesman Bill Roberts.

The latest lawsuit concerns IBM’s WebSphere Commerce platform, which Groupon said lets merchants send messages to customers with GPS-enabled devices based on their real-time locations, and their use of social media including Facebook.

Groupon said the platform infringes a December 2010 patent, and that it deserves royalties based on the “billions of dollars” of revenue that Armonk, New York-based IBM has received through its infringement.

“IBM, a relic of once-great 20th Century technology firms, has now resorted to usurping the intellectual property of companies born this millennium,” Groupon said in its lawsuit.

On March 2, IBM accused Groupon in a federal lawsuit in Delaware of infringing four patents, including two related to Prodigy, a late-1980s forerunner to the Internet.

“Over the past three years, IBM has attempted to conclude a fair and reasonable patent license agreement with Groupon, and we are disappointed that Groupon is seeking to divert attention from its patent infringement by suing,” Shelton said.

The Chicago case is Groupon Inc v International Business Machines Corp, U.S. District Court, Northern District of Illinois, No. 16-05064. The Delaware case is International Business Machines Corp v Groupon Inc, U.S. District Court, District of Delaware, No. 16-00122.

Source-http://www.thegurureview.net/aroundnet-category/groupon-gets-into-patent-fight-with-ibm.html

The social network continues to see surging interest in video. During one day last quarter, its users watched a combined 100 million hours of video. Roughly 500 million users watch at least some video each day.

That’s a lot of video and a lot of viewers, and Facebook wants to capitalize on it.

“We are exploring a dedicated place on Facebook for when they just want to watch videos,” CEO Mark Zuckerberg said Wednesday during a conference call to discuss Facebook’s quarterly financial results.

But he was tight-lipped on how the video might actually be presented.

Asked if a stand-alone video app is in the cards, he mentioned the success of Messenger and a Facebook app for managing Pages. “I do think there are additional opportunities for this and we’ll continue looking at them,” he said.

Facebook wants to encourage more video viewing because it keeps users on the site longer, helping it to sell more ads.

“Marketers also really love video and it’s a compelling way to reach consumers,” COO Sheryl Sandberg said during the call.

Zuckerberg has been watching the growth of video for osme time. At a town hall meeting in November 2014, he predicted, ”In five years, most of [Facebook] will be video.”

And it’s likely that most of that video will be consumed over mobile networks.

Among Facebook’s heaviest users — the billion people who access it on a daily basis — 90 percent use a mobile device, either solely or in addition to their PC.

It’s financial results for the fourth quarter were strong. Revenue was $5.8 billion, up 52 percent from the same period in 2014, while net profit more than doubled to $1.6 billion.

http://www.thegurureview.net/aroundnet-category/facebook-exploring-a-dedicated-video-service.html

Politwoops had been a popular social media destination for political junkies and others looking to unearth social media gaffes by politicians.

But in a move widely lambasted by open-government advocates, Twitter effectively shuttered Politwoops last summer when it revoked access to its interface by the government accountability watchdog, the Sunlight Foundation, that had developed the tool and had been publishing the tweets.

On Thursday, Twitter said it had reached a deal with Sunlight and another organization, the Open State Foundation, to restore the tool.

“Politwoops is an important tool for holding our public officials, including candidates and elected or appointed public officials, accountable for the statements they make, and we’re glad that we’ve been able to reach an agreement with Twitter to bring it back online both in the U.S. and internationally,” said Jenn Topper, communications director for The Sunlight Foundation.

While the announcement was a victory for government-transparency advocates, it could prove to be a setback for politicians hoping to avoid the social media rumpus that can accompany an ill-timed tweet or misconstrued online musing.

The deal comes as the clock ticks closer to the first vote casting in the 2016 U.S. presidential campaign. The Iowa caucuses will take place on Feb. 1, followed by the first primary in New Hampshire on Feb. 9.

Source-http://www.thegurureview.net/aroundnet-category/twitter-to-revived-archived-deleted-tweets-of-politicians.html

The social media giant’s latest machine learning system has been designed for artificial intelligence (AI) computing at a large scale, and in most part has been crafted with Nvidia hardware.

Big Sur comprises eight high-performance GPUs of up to 300 watts each, with the flexibility to configure between multiple PCI-e topologies. It makes use of Nvidia’s Tesla Accelerated Computing Platform, and as a result is twice as fast as Facebook’s previous generation rack.

“This means we can train twice as fast and explore networks twice as large,” said the firm in its engineering blog. “And distributing training across eight GPUs allows us to scale the size and speed of our networks by another factor of two.”

Facebook claims that as well as better performance, Big Sur is also far more versatile and efficient than the off-the-shelf solutions in its previous generation.

“While many high-performance computing systems require special cooling and other unique infrastructure to operate, we have optimised these new servers for thermal and power efficiency, allowing us to operate them even in our own free-air cooled, Open Compute standard data centres,” explained the company.

We spoke to Nvidia’s senior product manager for GPU Computing, Will Ramey, ahead of the launch, who has been working on the Big Sur project alongside Facebook for some time.

“The project is the first time that a complete computing system that is designed for machine learning and AI will be released as an open source solution,” said Ramey. “By taking the purpose-built design spec that Facebook has designed for their own machine learning apps and open sourcing them, people will benefit from and contribute to the project so it can move the entire industry forward.”

While Big Sur was built with Nvidia’s new Tesla M40 hyperscale accelerator in mind, it can actually support a wide range of PCI-e cards in what Facebook believes could make for better efficiencies in production and manufacturing to get more computational power for every penny that it invests.

“Servers can also require maintenance and hefty operational resources, so, like the other hardware in our data centres, Big Sur was designed around operational efficiency and serviceability,” Facebook said. “We’ve removed the components that don’t get used very much, and components that fail relatively frequently – such as hard drives and DIMMs – can now be removed and replaced in a few seconds.”

Perhaps the most interesting aspect of the Big Sur announcement is Facebook’s plans to open-source it and submit the design materials to the Open Compute Project. This is a bid to make it easier for AI researchers to share techniques and technologies.

“As with all hardware systems that are released into the open, it’s our hope that others will be able to work with us to improve it,” Facebook said, adding that it believes open collaboration will help foster innovation for future designs, and put us closer to building complex AI systems that will probably take over the world and kill us all.

Nvidia released its end-to-end hyperscale data centre platform last month claiming that it will let web services companies accelerate their machine learning workloads and power advanced artificial intelligence applications.

Consisting of two accelerators, Nvidia’s latest hyperscale line aims to let researchers design new deep neural networks more quickly for the increasing number of applications they want to power with AI. It also is designed to deploy these networks across the data centre. The line also includes a suite of GPU-accelerated libraries.

Courtesy-TheInq