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UberEATS Launches In London

June 27, 2016 by  
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Ride-hailing company Uber debuted its meal delivery service app UberEATS in London on Thursday, the second European city where users will be able to order food to their home, entering a burgeoning British market.

The service, which is currently available in 17 cities around the world including Paris, will compete with rivals such as Deliveroo and Just Eat, which have advertised heavily in the capital in recent months.

Britons will be able to download the app on their iPhone or Android handset from midday on Thursday and order meals from restaurants which will be delivered by Uber drivers.

Deliveries will be made to customers in central London from over 150 eateries between 11 a.m. and 11 p.m. with plans to expand further away from the center in the coming weeks.

Uber has faced months of protests from drivers of the capital’s long-dominant black cabs but earlier this year transport bosses rejected options which could have imposed strict new restrictions on how it operates.

http://www.thegurureview.net/aroundnet-category/ubereats-launches-in-london.html

Will Facebook Go Open-Source

December 29, 2015 by  
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Facebook has unveiled its next-generation GPU-based systems for training neural networks, Open Rack-compatible hardware code-named “Big Sur” which it plans to open source.

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

Twitter To Allow Monet Tweets

October 22, 2014 by  
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One of France’s largest banks is partnering with social network Twitter Inc. to allow its customers to transfer money via tweets.

The move by Groupe BPCE, France’s second largest bank by customers, coincides with Twitter’s own foray into the world of online payments as the social network seeks new sources of revenue beyond advertising.

Twitter is racing other tech giants Apple  and Facebook to get a foothold in new payment services for mobile phones or apps. They are collaborating and, in some cases, competing with banks and credit card issuers that have run the business for decades.

The bank said last month it was prepared to offer simple person-to-person money transfers via Twitter to French consumers, regardless of what bank they use, and without requiring the sender know the recipient’s banking details.

“(S-Money) offers Twitter users in France a new way to send each other money, irrespective of their bank and without having to enter the beneficiary’s bank details, with a simple tweet,” Nicolas Chatillon, chief executive of S-Money,  BPCE’s mobile payments unit, said in the statement.

Payment by tweets will be managed via the bank’s S-Money service, which allows money transfers via text message and relies on the credit-card industry’s data security standards.

BPCE and Twitter declined to provide further details ahead of a news conference in Paris later today to unveil the service.

Last month, Twitter started trials of its own new service, dubbed “Twitter Buy”,  to allow consumers to find and buy products on its social network.

The service embeds a “Twitter Buy” button inside tweets posted by more than two dozen stores, music artists and non-profits. Burberry, Home Depot, and musicians such as Pharrell and Megadeth are among the early vendors.

Twitter’s role to date has been to connect customers rather than processing payments or checking their identities.

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Google Ordered To Pay $660K

February 10, 2012 by  
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A Paris Court earlier this week ordered Google France and its parent company Google to pay plaintiff Bottin Cartographes 500,000 euros (about $660,000) for providing its free mapping services to companies across the country. The court also required Google to pay a 15,000 euro fine for its practice.

“We proved the illegality of (Google’s) strategy to remove its competitors,” Jean-David Scemmama, attorney for Bottin Cartographes, a company that provides mapping services to the enterprise, told the AFP in an interview earlier this week. “The court recognized the unfair and abusive character of the methods used and allocated Bottin Cartographes all it claimed. This is the first time Google has been convicted for its Google Maps application.”

According to Scemmama, Bottin has been arguing its case against Google for two years, claiming the search giant was engaging in anticompetitive practices by using its free service to take control over the online-mapping industry.

In a statement to the AFP, Google said that it will appeal the court’s decision, adding that Google Maps is still facing competition in that market.

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