据AIbase报道，为挑战英伟达（NVIDIA）在AI芯片市场的统治地位，Alphabet（谷歌母公司）正在推进一项名为“TorchTPU”的战略计划。该计划旨在显著提高其张量处理器（Tensor Processing Unit, TPU）芯片与PyTorch框架的兼容性，从而降低开发者从英伟达GPU切换到谷歌TPU的技术壁垒和迁移成本。

Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...

Dr. James McCaffrey of Microsoft Research uses a complete demo program, samples and screenshots to explains how to install the Python language and the PyTorch library on Windows, and how to create and ...

Google launches 'TorchTPU' initiative to enhance TPU compatibility with PyTorch, aiming to rival Nvidia's GPU market lead with Meta's collaboration.

The CUDA Moat: Wall Street analysts often cite Nvidia’s CUDA software as its primary competitive advantage. By natively ...

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...