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StyleGAN depends on Nvidia's CUDA software, GPUs, and Google's TensorFlow, [4] or Meta AI's PyTorch, which supersedes TensorFlow as the official implementation library in later StyleGAN versions. [5] The second version of StyleGAN, called StyleGAN2, was published on February 5, 2020.
HANOI (Reuters) - Nvidia and the Vietnamese government will jointly set up an AI research and development centre and an AI data centre in the Southeast Asian country under an agreement signed on ...
Nvidia stock gained over 194% in the last 12 months thanks to the AI frenzy. Investors can gain exposure to the stock via VanEck Semiconductor ETF (NASDAQ: SMH ) and Global X Robotics & Artificial ...
OpenAI and non-profit partner Common Sense Media have launched a free training course for teachers aimed at demystifying artificial intelligence and prompt engineering, the organizations said on ...
Nvidia GTC (GPU Technology Conference) is a global artificial intelligence (AI) conference for developers that brings together developers, engineers, researchers, inventors, and IT professionals. [1] Topics focus on AI, computer graphics , data science , machine learning and autonomous machines .
Horovod is a free and open-source software framework for distributed deep learning training using TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod is hosted under the Linux Foundation AI (LF AI). [3] Horovod has the goal of improving the speed, scale, and resource allocation when training a machine learning model. [4]
Building the current crop of artificial intelligence chatbots has relied on specialized computer chips pioneered by Nvidia, which dominates the market and made itself the poster child of the AI ...
Deep learning anti-aliasing (DLAA) is a form of spatial anti-aliasing created by Nvidia. [1] DLAA depends on and requires Tensor Cores available in Nvidia RTX cards. [1]DLAA is similar to deep learning super sampling (DLSS) in its anti-aliasing method, [2] with one important differentiation being that the goal of DLSS is to increase performance at the cost of image quality, [3] whereas the ...
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