Older models struggled with depth issues in 2D images, but the novel neural network handles these problems with ease.
Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all.
Governments, too, should allow open-source AI to thrive, imposing safety regulations uniformly and eschewing restrictions and ...
Relief-type cultural heritage objects are commonly found in many historical sites worldwide, but often suffer from varying ...
The latest FSR 3.1 release this year brought significantly improved stability over previous versions. However, there's still ...
Researchers at NVIDIA have developed HOVER (humanoid versatile controller), a 1.5 million parameter neural network designed ...
New ISACA courses in machine learning will prepare practitioners to better understand the lifecycle of machine learning ...
Custom hardware tailored to specific models can unlock performance gains and energy savings that generic hardware cannot ...
Accurately modeling particle movement through fluids is crucial in fields ranging from chemical engineering to aerospace. The ...
AMD has launched AI-powered Neural Supersampling, enhancing GPU graphics quality by combining upscaling and denoising in real-time path tracing.
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