Something I look forward to: After years of focusing exclusively on resolution bumps at the cost of performance, the console gaming market is finally turning its attention to the world of high-frame-rate gaming experiences. But Microsoft’s Xbox Series S / X won’t do it exclusively through robust hardware; the company is said to be developing an alternative to DLSS by leveraging its DirectML API.
Details on Microsoft’s progress are scant at the moment, and this news comes primarily from two recent job postings on the company’s “Careers” website. On the site, you will find advertisements for a Senior Programming Engineer and a Lead Graphics Software Engineer.
Corporate gibberish aside, we can find some notable catchphrases. In the first, Microsoft says it is looking for an engineer to “implement machine learning algorithms in graphics software to delight millions of gamers,” while working closely with “partners” to develop software for the “future machine learning hardware. “.
Microsoft hopes that machine learning will improve the efficiency of traditional rendering algorithms and ensure that its future games “perform wonderfully” at the “highest resolutions and frame rates.” This will likely mean a standardized 4K, 60 FPS gaming target across the board, at least for the major titles of their own. As we’ve seen with Cyberpunk 2077, the AI enhancement can even pave the way for ray tracing without the same performance loss you’d normally see when activating these features.
AI-based scaling methods aren’t without flaws, of course. To use Cyberpunk 2077 as an example again, even using the DLSS preset of “Quality” resulted in a very blurry image. It was a valuable trade-off for many users (simply because of how beautiful the game’s RT implementation was), but What it is still compensation.
We look forward to seeing what kind of solution Microsoft comes up with in the years to come. Will it have the same drawbacks as its competitors, or will it rise above them with near-perfect enhancement technology? Only time will tell.
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