Google Actively Working on VP10 Video Compression Codec
In an interview with CNET, Google has revealed that it is looking to make 4K video available to even more consumers, as its new VP10 video compression codec is shaping up to be highly efficient. According to James Bankoski, a Google product manager, VP9 currently utilizes half the bandwidth of the most popular format currently, the H.264 format, and VP10 will likely utilize half the bandwidth needed with VP9. The VP10 video compression codec, which happens to be open source, will also offer desktop and mobile content viewers with better dynamic range between lights and darks, improve the overall color range of video, and increase image sharpness.
Although VP10 sounds incredibly promising, the H.264 format successor known as HEVC/H.265 may find itself more widely utilized for content delivery. Google is hoping that with the popularity of YouTube, combined with the open source development of VP10 and the patent fee issues surrounding the HEVC/H.265 format, it will hit its performance targets for the latest video compression codec by the end of this year.
Source: CNET
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Battlefield 4 Night Operations is Now Available
According to danmotoxx, a Community Manager for Battlefield at Electronic Arts, Battlefield 4 Night Operations is now available virtually worldwide for platforms that include PC, Xbox 360, Xbox One, PlayStation3, and PlayStation 4. European gamers on the PlayStation 3 and PlayStation 4 will have to wait until September 8 to receive the map, unfortunately. The launch of Night Operations comes alongside the release of the Battlefield 4 Summer Patch, which features the nighttime map that is based on vanilla BF4’s Zavod level as well as gameplay tweaks and fixes. Battlefield 4 Night Operations supports Conquest, Rush, Team Deathmatch, Obliteration, Domination, and Gun Master game modes, and should provide plenty of fun for those still playing Battlefield 4.
Source: Battlelog and PlayStationLifeStyle.net
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Release Date Announced for Deus Ex: Mankind Divided
First announced back in April, Deus Ex: Mankind Divided has been given a release date of February 23, 2016. Mankind Divided continues Adam Jensen's story from Deus Ex: Human Revolution in a time when augmented humans are being segregated from the world. He will have to navigate the many choices before him to eventually reveal a worldwide conspiracy.
As with most modern games, you can pre-order Deus Ex: Mankind Divided, but there is a bit of a twist to it. As people pre-order, tiers of rewards will be unlocked for everyone to choose from. The first tier is already unlocked and allows everyone who pre-orders to select from three equipment packs to use in game, including the Classic Pack with Adam's gear from Human Revolution. The second tier lets you choose between a digital artbook or soundtrack sampler, while the third tier awards a mission, and the fourth tier contains a digital comic book and a novella to choose from. If the number of pre-orders reaches tier five though, the game will release four days early.
If you want all the goodies from the 'Augment your Pre-Order' program, you can purchase the Collector's Edition that includes all of the in-game items, and some physical items as well.
Source: Square Enix
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New NVIDIA Drivers for Mad Max and Metal Gear Solid V: The Phantom Pain
Ahead of tomorrow's releases of Mad Max and Metal Gear Solid V: The Phantom Pain, NVIDIA has released version 355.82 of its Game Ready Drivers. This new driver features the latest optimizations for both games and their SLI profiles. Rocket League, Gu Jian Qa Tan Online, and World of Tanks for Windows 10 are also receiving their SLI profiles.
You can download the new drivers manually or through the GeForce Experience application.
Source: GeForce.com
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Hardware Roundup: Monday, August 31, 2015, Edition
The final day of August is here, and with it comes a few items to start your week off. We have a review of the Thermaltake Core X9 case, a massive chassis capable of fitting two systems, two power supplies, and is stackable so you can have one entirely dedicated to water cooling, if you wish. All of that for a case that doesn't even cost $200. There is also a look at the Corsair H110i GTX all-in-one liquid cooler with a 280mm radiator and an improved block to help with the thermal load. Ending today's list of items is the OCZ Trion 100 480GB SSD, which features Toshiba NAND and a Toshiba controller to deliver 550MB/s read speeds and 530MB/s write speeds.
Cases
Thermaltake Core X9 @ TechSpot
CPU Cooling
Corsair H110i GTX @ Bjorn3D
Storage/Hard Drives
OCZ Trion 100 480GB SSD @ ThinkComputers
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Applying Compression to Accelerate Big Data Searches
Big data, the practice of building very large datasets for analysis, has come to improve many fields of study. The thing is that large datasets can be a double-edge sword as they can be slow to search through. Researchers at MIT found that compressing these datasets can speed things up, and now they have explained why that is, and how it can be applied to other datasets.
The compression scheme the researchers have been employing takes advantage of two properties of many datasets. One is the metric entropy and the other is low fractal dimension. The metric entropy has to do with the area the data occupies, compared to the total space of possibilities, while low fractal dimension means that the density of data points within the set does not vary greatly, as you move around. What this allowed the researchers to do is to effectively compress the datasets they were working with, which contained genomic information, by identifying spheres of related data points that could then be represented by a single example. This makes searching easier as much of the data can be skipped over, based on examining the representative data points.
While the work began with genomic sequences, which do tend to be very similar to each other, it should be possible to successfully apply this method to other datasets. One example could be the analysis of Internet usage, which is likely similar along biological and/or cultural lines.
Source: MIT
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