Showing posts with label technology. Show all posts
Showing posts with label technology. Show all posts

Sunday, April 20, 2014

Samsung galaxy note 4 rumored to feature a three sided flexible display

The Samsung Galaxy Note 4 has already been rumored to include a 4K display and a possible Qualcomm Snapdragon 810 chipset however, a latest report hints that it might also feature a remarkable flexible display.

Shortly after a Samsung representative stated that the Galaxy Note 4 will feature a “new form factor”, the Korean Media reported that the device will be the first smartphone to feature the “Youm” flexible display by Samsung. To add more to the flame, the same source, citing industry insiders, said that the screen will be three sided. But what is the use of a three sided screen? Well, it could be used to display various notifications such as messages, reminders or even the time.

Source: ZDNet
Via: G 4 Games

Wednesday, April 2, 2014

Amazon Unveils Media Streaming Set-Top Box Amazon fireTV

Amazon today unveiled its first media streaming device, the Amazon fireTV, confirming rumors of a proprietary media set-top box. The black square box comes with a quad-core processor, 2GB of RAM, and of course, runs on Android. The fireTV launches with a number of video apps, such as Netflix, Hulu, and Internet video streaming service Frequency. The usual social app suspects are also available, including Facebook and Twitter, and music apps like Pandora.

Fore more Updating....
The Next web: Amazon Unveils Media Streaming Set-Top Box Amazon fireTV
Techcrunch : Amazon Officially Unveils Amazon Fire TV, A Tiny Media Streaming Box

Free online tool you can decode various barcode formats

With this free online tool you can decode various barcode formats. At the moment we support UPC-A, UPC-E, EAN-8, EAN-13, Code 39, Code 128, QR Code, Data Matrix, PDF 417 and ITF. This service is using the zxing library for decoding.

Watch this tutorial  wideo:

Get tool:  onlinebarcodereader.com

Wednesday, March 19, 2014

Facebook’s DeepFace Project Nears Human Accuracy In Identifying Faces


Facebook has reached a major milestone in computer vision and pattern recognition, with ‘DeepFace,’ an algorithm capable of identifying a face in a crowd with 97.25 percent accuracy, which is pretty much on par with how good the average human is (97.5 percent accurate) at recognizing the faces of other walking, talking meat sacks.

Read more:
Facebook’s DeepFace Project Nears Human Accuracy In Identifying Faces | TechCrunch