A future version of AMD FidelityFX Super Resolution will leverage AI as part of its upscaling pipeline, according to new statements made by Mark Papermaster, CTO (and EVP) at AMD.
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I say that to people all the time. It's not "AI". It's software, working with hardware, to perform a task.Nice. They say AI. I say api.
AMD announces FSR Redstone for RDNA4: Neural Radiance Caching, ML Ray Regeneration and Frame Generation
"The next step is FSR Redstone, a new version of super resolution and frame generation. This version will focus on three key features: Neural Radiance Caching, machine learning-accelerated Ray Regeneration, and machine learning accelerated Frame Generation."
"Hall began by saying something surprising. FSR Redstone is implemented so that it can run even if the GPU does not have AI acceleration capabilities at runtime. Despite being a machine learning/AI-based technology, it does not require AI acceleration on the GPU side."
"FSR Redstone was developed using AMD ML2CODE (Machine Learning to Code), a research project from ROCm. The core part of the neural rendering technology is converted into optimized Compute Shader code by utilizing ML2CODE."
ML2CODE is included in AMD's GPU computing (GPGPU) platform, ROCm 6.1 and later.
Rather than executing trained AI cores at runtime, it optimizes them as existing Compute Shader code and enables native execution.