Tablets dominate the headlines, but ultrabooks are nearly as light, start up as quickly and offer the screens, keyboards, memory and processing power of full-fledged computers.

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Amazon will let customers run free micro-instances of Microsoft Windows 2008 R2 on its EC2 service starting now, according to a new post to the Amazon Web Services (AWS) blog.

Such try-before-you-buy tactics have helped Amazon win converts to its cloud platform by letting them test new or existing applications in its cloud for free. While Amazon offers a choice of operating systems, Microsoft licensing constraints have made running Windows workloads on AWS more expensive than running them on Linux.

In his post, Amazon’s web services evangelist Jeff Barr wrote:

The micro instances provide a small amount of consistent processing power and the ability to burst to a higher level of usage from time to time. You can use this instance to learn about Amazon EC2, support a development and test environment, build an AWS application, or host a web site (or all of the above). We’ve fine-tuned the micro instances to make them even better at running Microsoft Windows Server.

The AWS Free Usage Tier has until now let customers run small instances of Linux or other Amazon services for free for 750 hours per month as a way to let customers kick the tires of its cloud-based services. The “micro instances” for 32- or 64-bit  Linux and now Windows can utilize 613 MB of memory. Customers can use the free usage tier for a year, according to Amazon.

Users of this free usage tier have access to Amazon S3, Elastic Block Store, Elastic Load Balancing and AWS data transfer services. The new Windows Server free usage instances are available across AWS regions except for the GovCloud.

This news comes at an interesting time. Amazon’s popular infrastructure-as-a-service and Microsoft’s Azure platform-as-a-service are increasingly competing with Amazon adding more PaaS-like capabilities and Microsoft working on IaaS capabilities. Both companies plan web briefings this week on their cloud strategies — Microsoft has a webcast slated for Tuesday, Amazon hosts one on Wednesday.

As more companies weigh putting workloads onto public or private clouds, hold on for more competitive moves by these cloud giants.

Photo courtesy of  Flickr user liber

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Solid engineering talent is such a prized resource nowadays that many tech firms have taken to doing acqui-hires, which is the practice of buying a company for its employees rather than for its products or technology. But it’s not just startup founders and programmers who are benefiting from this trend — the open source community has been a winner as well.

On Wednesday, LinkedIn announced that the technology behind IndexTank, the search engine startup it acquired back in October, has been released as open source software under the Apache 2.0 license. At the time of the deal, it was pretty clear that the IndexTank buy was motivated largely by talent: The company had 11 employees, nine of whom were engineers, and financial terms of the deal were kept under wraps. The technology IndexTank built was very compelling, but the team behind it was likely the most attractive aspect to LinkedIn.

That’s why it’s good news that IndexTank’s code will live on, and that others will be able to build on top of it. IndexTank essentially build software to help search and query large amounts of data, even on devices with limited processing power such as cell phones. It’ll be interesting to see what people do with this now that it’s open source.

It seems that releasing acquired technology as open source software is a growing trend for acqui-hire deals. Earlier this week, for example, Twitter started releasing the code from recently-acquired mobile security startup Whisper Systems as open source software. Some people may see such open source releases as consolation prizes, but it’s better than the alternative: Historically, a startup’s customers worry about products languishing or being shut down altogether after an acquired by a larger firm. These open source releases mean that technology will live on, regardless of what happens with often unpredictable M&A integrations.

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Multi-core chips in smartphones don’t just make the handsets faster; they bring useful new features that couldn’t easily exist without the extra processing power. Take the simple and fairly ubiquitous example of snapping a picture, for example. Faster mobile chips can turn the experience from a “point, shoot, and hope you got a good shot” into a smarter snap that nearly guarantees the perfect picture. Earlier this month at Qualcomm’s Uplinq conference, Scalado showed off its software that does just that, when paired with an advanced smartphone chip.

This video demonstration from the Android And Me enthusiast site illustrates how Scalado’s software, known as Rewind, works for group shots. Instead of hoping that everyone is wide-eyed and smiling when tapping the shutter button, the software uses a burst mode to capture five successive images in quick succession. To do this, a peppy processor is needed for the fast image capture. Once the picture is taken, the software uses facial recognition to zero in on each member of the group; tapping a face in the picture creates a circular control around the person’s image. A turn of the circle scrolls through all five images of the group member’s face so the best one can be chosen and seamlessly stitched into the final image.

Scalado’s solution applies to standard photos as well because no matter how fast you tap the shutter button on your smartphone’s camera, you don’t always get the perfect shot. Using a similar burst mode concept, Scalado’s app can take two images before you press the shutter button as it can constantly monitor images when the camera app is running. Tapping the shutter snaps the prior two image scans, the one during the button press and two more immediately after that, offering five image captures of the scene to choose from and save.

Since the software requires an advanced mobile phone processor and can enhance native camera functionality, Scalado is looking at handset makers to implement its camera solution. That means it’s likely to be an included feature on a smartphone, not a camera application that consumers can buy as a separate mobile application. Given that, the company has partnered with Qualcomm, I’d expect the software to first appear on handsets from HTC and HP as both companies power their current and upcoming smartphones with Qualcomm Snapdragon chips.

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Crunchfish, a Swedish app company, has built software for mobile phones that turns the phone’s camera into a mouse. It allows the phone’s front-facing camera to track a person’s hand movements so he or she doesn’t have to touch the screen. As someone who surfs the web on her handset while eating Chex Mix, this might come in handy (and keep my phone cleaner). It’s also useful for folks wearing gloves.

The Crunchfish gesture control engine also allows for 3-D manipulation of content, although I’m not really able to picture how that works on a flat screen. The software is just a prototype at the moment, and it sounds like handset manufacturers will have to elect to integrate the gesture control with Crunchfish’s existing 3-D rendering engine for cell phones, in order to give developers a chance to take advantage of the motion-control (especially the 3-D part).

Crunchfish isn’t the only one trying to figure out a gesture-controlled UI, and its decision to go after phones seems a bit off. However, as phones get front-facing cameras and have more processing power, the ability to track movements and turn them into commands for the phone could be useful. Samsung has also filed a patent on the topic and a company called Eyesight is trying to bring gesture-controls to tablets.

Mobile tech isn’t the only place motion-control research is targeting; televisions are another popular device. GestureTek, Softkinetic and Canesta (which was purchased by Microsoft) are all working in the television space to enable lazy bums like myself to control our TVs from the couch even if we can’t find a remote.

It may have started with Nintendo’s Wii and graduated all the way up to Microsoft’s Kinect, but gesture controls are moving beyond consoles to help us control the myriad devices around us. Crunchfish may sink or swim, but it’s not alone in its ambitions.

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A useful tip is to ensure the processors in your render farm are the identical to the processors in your workstation, as there might be differences in rendering amongst processor architectures, which could mean little differences in your final rendered frames.

Rendering max is the final procedure of creating the actual 3D image or animation from the prepared scene. It is comparable with taking a photo or filming the scene after the conclusion of set up in literal life. There have been several,distinct and special rendering methods acquired . Variably non-realistic wireframe rendering through polygon-based rendering, to other modern techniques such as scanline rendering, ray tracing, or radiosity are there amidst the ranges. The time taken for rendering may vary from a fraction of a second to days for a single image or a frame.

Real-time

Rendering for interactive media, such as games and simulations, is calculated and displayed in actual time, at rates of roughly 20 to 120 frames per second. The main aim of a actual time rendering is to exhibit other and more data as viable for an eye to process in a 30th of a second. Rendering software may simulate such visual impressions as lens flares, depth of field or movement blur. An element of realism is lend by these components to a scene like even it may simply be a imitated artifact of a camera. This is the basic system engaged in games, interactive worlds. Such a fast increase in computer processing power has permitted progressively high degree of realsim for natural time farm render comprises ofmethods like rendering Vray.

Non Real-time

It is a slow process for rendering of Animations for non-interactive forms of communication, such as feature films and video. Non-actual time render max enables the leveraging of limited processing power in order to obtain higher image quality. For complex scenes rendering times for individual frames may array from few seconds to various days. Initially rendered frames are stored on a hard disk and later on they are transferred to other media like gesture picture or optical disk.

Interaction of light with various forms of matter are amidst the modes developed for the purpose imitating other naturally occuring consequences. The architectural rendering procedure is computationally expensive, given the complex category of physical processes being simulated. Computer processing power has increased rapidly over the years, allowing for a progressively higher degree of realistic rendering. Film studios that produce computer-generated animations largely make use of a render farm to generate images in a prompt manner. renderfarm output is mainly used as one little part of a completed gesture-picture scene. Various layers of material may be rendered separately and integrated into the final shot utilising compositing software.