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Google is testing search results with lots of pictures and almost no words

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Google is testing a brand new web page design for desktop search outcomes, and it is a fairly jarring means of viewing info. When performing a Google search from a desktop pc, some customers are being given the cell AMP search outcomes, however with even fewer phrases than you will discover on a cell system. The result’s a string of search outcomes plagued by fairly photos and little greater than a headline to determine the search end in query.

When pasting the brand new outcomes subsequent to the web page design that most individuals will expertise at present, the distinction is substantial, to say the least. Whereas the brand new design is a solution to spotlight some attractive imagery, it takes away a big quantity of knowledge that will assist customers determine precisely what they’re on the lookout for earlier than they click on a hyperlink. On the constructive aspect, this new outcomes web page gives stark visible variations between web sites, whereas the prevailing outcomes web page has no actual visible identifiers between outcomes. Within the photographs under, the brand new visible design on the left, whereas the present design on the suitable.

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Google loves testing new designs and ideas and usually undergoes what’s referred to as “A/B testing”, the place a set of customers will obtain one check design, whereas one other group of customers receives a special design. Up to now we have solely seen one new outcomes web page amongst those who work at Android Central, however it’s very probably there’s no less than one different check occurring proper now.

Google just lately rolled again a minor search web page redesign after stark criticism because of the truth that using “favicons” made common search outcomes look too visually just like adverts. If there’s any single factor we will spotlight as a constructive of this new design present process testing, it is that common search outcomes look completely nothing like adverts, as evidenced within the full-page view comparisons above.

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Groupon will no longer sell discounted goods, instead focusing on local experiences

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In brief: Tough times call for tough measures and that is exactly where Groupon is right now. Share value in the online marketplace is down more than 42 percent in early morning trading after announcing disappointing fourth quarter and full year earnings yesterday afternoon.

The company isn’t blind to the fact, either, and is making changes to right the ship before it is too late.

CEO Rich Williams said he was incredibly disappointed with Groupon’s 2019 performance.
“This performance shortfall, coupled with the significant headwinds we continue to face, call for profound change,” he added.

In short, Williams wants to transform Groupon into the local experiences marketplace. What once was a business driver has become a significant drag on the overall operation.

To get there, they’ll have to quickly exit the Goods category and dedicate resources to expanding the local experiences marketplace. The plan is to exit in North America by the third quarter and internationally by the end of the year.

Initially, Groupon was just that – a destination for finding discounts and deals on local experiences. But along the way in search of rapid growth, the company jumped on the consumer goods bandwagon, selling all sorts of products, from pet supplies and sports equipment to electronics and toys. In hindsight, the company should have stayed in its lane.

Masthead credit: Groupon by Casimiro PT. Restructuring by bangoland.

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Canadian online pharmacy, PocketPills has raised $7.35 million as it expands into Quebec – TechCrunch

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PocketPills, which payments itself as the only on-line pharmacy working in Canada, has raised $7.35 million in new financing because it expands throughout the nation.

By means of partnerships with insurers like Pacific Blue Cross the corporate gives co-insurance reductions for prescriptions. “We’ve got an choice so that you can come and be part of our platform identical to any pharmacy,” says firm co-founder and chief working officer, Harj Samra.

Samra launched the corporate in 2018 with Raj Gulia, a fellow proprietor of pharmacies throughout Canada, and the serial entrepreneur and co-founder of RocketFuel Abhinav Gupta. After RocketFuel’s public providing, Gupta was toying with a number of concepts for direct to shopper firms when he was approached by Gulia and Samra.

Collectively the three males launched PocketPills to deliver the web pharmacy mannequin to Canada as a method to economize for insurers.

The issue for insurers is that using generic medication in Canada lags behind that of the U.S., says Gupta. “The distinction is kind of substantial. The U.S is about 90% generic fill charge and in Canada that quantity is at 70%,” he says. 

PocketPills covers every little thing common Canadian pharmacy would exterior of managed substances and narcotics. The majority of the corporate’s prescriptions thus far are for medicines for persistent circumstances.

Now the corporate is trying to increase throughout the nation, opening success areas in Nova Scotia and shortly in Quebec.

To again that progress and proceed its improvement, PocketPills turned to a big Canadian household workplace and the funding agency Waterbridge to finance its $7.35 million spherical.  

“PocketPills is timed effectively for enormous worth creation within the Canadian well being care trade by means of its know-how improvements. It has captured a candy spot on the intersection of value (insurers and employers), comfort (sufferers) and care (persistent illnesses),” stated Manish Kheterpal, Managing Companion, WaterBridge Ventures, in a press release.


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JPEG committee is banking on AI to build its next image codec

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Joint Photographic Experts Group (JPEG), a committee that maintains varied JPEG image-related requirements, has began exploring a option to contain AI to construct a brand new compression customary. 

In a current assembly held in Sydney, the group launched a name for proof to discover AI-based strategies to discover a new picture compression codec. This system, aptly named JPEG AI, was launched final yr; with a particular group to review neural-network-based picture codecs.

[Read — Study: AI expert Gary Marcus explains how to take AI to ‘the next level’]

Beneath this system, it goals to search out attainable options in direction of discovering a brand new customary. To try this, it has partnered with IEEE (Institute of Electrical and Electronics Engineers) to name for papers beneath the Studying-based Picture Coding Problem. These papers will likely be offered on the International Conference of Image Processing (ICIP) scheduled to be held at Abu Dhabi in October.

The committee stated it desires to search out proof that AI can do a greater job of reaching higher compression with massive picture databases:

This exercise goals to search out proof for picture coding applied sciences that supply considerably higher compression effectivity when in comparison with typical approaches however counting on fashions exploiting a big picture database.

Having AI fashions assist in makes an attempt to ship high-quality media with knowledge effectivity in thoughts isn’t fully new. In 2017, Netflix developed a new AI-powered codec for rising markets similar to India, the place folks watch numerous content material on their telephones by knowledge networks.

Plus, researchers have offered several papers on picture compression by machine studying fashions. It’ll be fascinating to see a totally new AI-based picture codec. Pied Piper, anybody?

You’re right here since you need to be taught extra about synthetic intelligence. So can we. So this summer time, we’re bringing Neural to TNW Convention 2020, the place we are going to host a vibrant program devoted completely to AI. With keynotes by consultants from corporations like Spotify and RSA, our Neural monitor will take a deep dive into new improvements, moral issues, and the way AI can rework companies. Get your early chicken ticket and take a look at the total Neural monitor.

Printed February 20, 2020 — 09:04 UTC

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