Microsoft Edge Browser Rolls Out Video Super Resolution Feature
Microsoft has started rolling out its much-anticipated built-in video upscaling feature for its Edge browser. The company’s new Video Super Resolution (VSR) algorithm uses artificial intelligence to boost web videos with a lower than 720p resolution, while also removing blocky artifacts. The feature is set to be made widely available to users in the “coming weeks.”
How to Use the Feature
Revealing further details on the feature in a posting on its Edge blog, Microsoft confirmed that VSR will be initially restricted to Windows machines with an Nvidia (RTX 20-series and above) or AMD (RX5700 and above) GPU. To use the AI upscaling, you’ll also need to be running the experimental Edge Canary version of Microsoft’s browser. If you’re on a laptop, you’ll need to be plugged into the mains, while those with hybrid GPUs will need to change Windows settings to force Edge to run using just their discrete GPU (automatic Hybrid GPU support is coming in a forthcoming update).
VSR is able to upscale video which are at least 192 pixels in width and height, but it sadly won’t work with DRM protected videos that use PlayReady or Widevine tech, such as Netflix streams.
Conclusion
Microsoft’s new Video Super Resolution feature is a game-changer for web video quality. With its AI upscaling algorithm, users can now enjoy a better viewing experience, even with lower than 720p resolution videos. However, the feature is currently limited to Windows machines with specific GPUs and requires the experimental Edge Canary version of the browser. Nonetheless, this is a promising development for Edge users and a step forward in web video technology. Stay tuned for more updates on this exciting feature.
Analysis: AI Upscaling Gives a Welcome Boost to AMD GPUs
AMD GPUs have always been a popular choice among gamers and tech enthusiasts, but they have often lagged behind their competitors when it comes to image quality. However, recent developments in AI upscaling technology have given AMD GPUs a much-needed boost.
The Benefits of AI Upscaling
AI upscaling technology uses machine learning algorithms to enhance the resolution and quality of images. This means that even lower resolution images can be upscaled to look much sharper and more detailed. This is particularly useful for gamers, as it means that games can be played at lower resolutions without sacrificing image quality.
AI upscaling also has benefits for content creators, as it allows them to upscale lower quality footage to a higher resolution without losing too much detail. This is particularly useful for YouTubers and other content creators who may not have access to high-end cameras or equipment.
How AI Upscaling is Helping AMD GPUs
AMD GPUs have always been known for their excellent performance, but they have often lagged behind their competitors when it comes to image quality. However, recent developments in AI upscaling technology have given AMD GPUs a much-needed boost.
By using AI upscaling technology, AMD GPUs are now able to produce images that are much sharper and more detailed than ever before. This means that gamers and tech enthusiasts can enjoy the excellent performance of AMD GPUs without sacrificing image quality.
Conclusion
AI upscaling technology has revolutionized the way we think about image quality, and it has given AMD GPUs a much-needed boost. With AI upscaling, even lower resolution images can be upscaled to look much sharper and more detailed, which is great news for gamers and content creators alike.
If you’re looking for a GPU that offers excellent performance and image quality, then an AMD GPU with AI upscaling technology is definitely worth considering.
Microsoft’s VSR AI Upscaling: A Potential Game-Changer for Low Bandwidth Users
Microsoft’s latest feature, VSR AI upscaling, may seem like a gimmick to some, but for others, it could be a game-changer. While the feature is computationally intensive and may slow down less capable machines, it offers a big visual bonus for those hampered by low bandwidth internet or data caps.
What is VSR AI Upscaling?
VSR AI upscaling is a feature that uses artificial intelligence to enhance the quality of video content. It works by analyzing the pixels in a video and using machine learning algorithms to predict what the missing pixels should look like. This process results in a higher resolution and better quality video.
Why is VSR AI Upscaling Important?
For users with low bandwidth internet or data caps, VSR AI upscaling can make a big difference. By enhancing the quality of video content, users can enjoy a better viewing experience without using up more data. Additionally, VSR AI upscaling gives AMD video card owners parity with Nvidia users, who have had access to video upscaling in Chrome or Edge for some time.
Conclusion
While some may dismiss VSR AI upscaling as a gimmick, it has the potential to be a game-changer for low bandwidth users. By using artificial intelligence to enhance the quality of video content, VSR AI upscaling offers a big visual bonus without using up more data. As technology continues to evolve, it will be interesting to see how VSR AI upscaling and other AI-powered features will shape the future of video content.
