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In the fall of 2018, fast.ai released v1.0 of their free open-source library for deep learning called fastai (without a period), sitting atop PyTorch. Google Cloud was the first to announce its support. [ 6 ]
He is the co-founder of fast.ai, where he teaches introductory courses, [2] develops software, and conducts research in the area of deep learning. Previously he founded and led Fastmail, Optimal Decisions Group, and Enlitic. He was President and Chief Scientist of Kaggle. Early in the COVID-19 epidemic he was a leading advocate for masking. [3 ...
StyleGAN-3 [53] improves upon StyleGAN-2 by solving the "texture sticking" problem, which can be seen in the official videos. [54] They analyzed the problem by the Nyquist–Shannon sampling theorem , and argued that the layers in the generator learned to exploit the high-frequency signal in the pixels they operate upon.
Deep Learning Studio is a software tool that aims to simplify the creation of deep learning models used in artificial intelligence. [1] It is compatible with a number of open-source programming frameworks popularly used in artificial neural networks , including MXNet and Google's TensorFlow .
The library is designed to reduce computing power and memory use and to train large distributed models with better parallelism on existing computer hardware. [2] [3] DeepSpeed is optimized for low latency, high throughput training.
On March 16, 2022, a one-minute long deepfake video depicting Ukraine's president Volodymyr Zelenskyy seemingly telling his soldiers to lay down their arms and surrender during the 2022 Russian invasion of Ukraine was circulated on social media. [168] Russian social media boosted it, but after it was debunked, Facebook and YouTube removed it.
[2] [3] Nvidia has also introduced Deep learning dynamic super resolution (DLDSR), a related and opposite technology where the graphics are rendered at a higher resolution, then downsampled to the native display resolution using an artificial intelligence-assisted downsampling algorithm to achieve higher image quality than rendering at native ...
The deep learning model consisted of 2 ANN, a policy network to predict the probabilities of potential moves by opponents, and a value network to predict the win chance of a given state. The deep learning model allows the agent to explore potential game states more efficiently than a vanilla MCTS.