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Showing posts with label NVIDIA. Show all posts

The Streamer for Gamer Nvidia Shield Tv Detected with Security Bugs

 

Computer gaming giant that goes by the motto of “level up experience more”, Nvidia detected bugs in its Shield TV. This gaming company is an American multinational technology company headquartered in California, USA. Nvidia is an artificial intelligence computing giant. The foremost work of Nvidia is to design graphics processing unit (GPU) for the gaming world and the professional market. They also develop the system on a chip unit for the mobile computing and automotive market.

In recent times, Nvidia acknowledged three security bugs in the Nvidia Shield TV which could have proved to be harmful and may permit services denial with rights escalation and data loss of the user. Nvidia Shield TV has been developed for gamers to play smart house, PC games from the PC console to television, and stream on and off the local and online internet servers. Better said, it’s a “set-top gadget” used for gaming. Subsequently, for the video-friendly graphics processing unit (GPU) monitor device, Nvidia solely published a security alert for a security bug cluster detected. 

Nvidia Shield TV interface, the NVDEC part of the hardware-dependent decoder encompasses a high– severity by CVE- 2021- 1068. Such bugs arise in the hardware when the actors can write or read from a memory location that is outside the scope of the intended boundary of the buffer. This issue later may lead to a service denial or the escalation of privileges. It has a fair rating of 7.8 CVSS.

The remaining two bugs do not hold high- severity. The flaw CVE- 2021- 1069 was detected in the NV host feature and could easily cause the data to be lost due to the null point reference. Whereas another bug CVE- 2021- 1067 endures in the application of the RPMB command status. In the RPMB command, the actors can write to the Write Protect Configuration Block, which also may lead to a service denial or the escalation of privileges. By using the upgrade note that appears on the notification screen, or via the Settings>About>System update, users can download and install the software update to secure a system. It will prevent them from any further loss of data by the detected bugs.

New AI Program can Effectively Remove the Noise from a Photograph




On July 9, researchers from NVIDIA, Aalto University, and MIT unveiled a yet another AI program that can adequately expel the noise and artifacts from pictures , this AI algorithm is the first of its kind as it doesn't even require a "clean " reference picture to get it going.

To make their noise filtering AI, the researchers began by adding noise to 50,000 sets of clean pictures and then fed these sets of grainy pictures to their AI, preparing it to expel the noise to reveal a much cleaned up version of the photograph, one that looked relatively indistinguishable to the picture before the noise was included.

Subsequent to training their AI, the scientists/researchers tried it by utilizing three sets of pictures to which they'd included the noise and they found that the framework could de-commotion the photographs in milliseconds, creating a version just marginally milder looking than the first before the noise was included.

Researchers say their algorithm can be utilized to denoise old grainy photographs, remove content based watermarks, clear up medicinal X-ray examines taken with undersampled inputs, upgrading astronomical photography, and denoise artificially produced pictures.

This in any case, isn't the principal case of an AI that can enhance inferior photos and absolutely not the first time when NVIDIA's research team has been behind such an amazing exploration.

As in April, NVIDIA and different researchers made another AI-based algorithm that can recreate pictures from which substantial lumps of content has been expelled.
Also in May, NVIDIA and other kindred researchers made an AI algorithm that can encourage robots to do different tasks just by watching a couple of redundancies by human workers.

Despite the fact that it's not yet clear when or if, this product may end up accessible to the overall population. Be that as it may, when that day comes, the researchers trust that it could definitely be helpful for various applications whether it be from astrology to medical imaging.