2026年1月19日，广东省智能科学与技术研究院王超名研究组在国际知名学术期刊Nature Communications在线发表题为"Model-agnostic linear-memory online learning in spiking neural networks"的研究论文。该研究首次实现了模型无关、线性内存、全自动编译的脉冲神经网络（Spiking Neural Networks, ...

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

The first Linux Docker container fully tested and optimized for NVIDIA RTX 5090 and RTX 5060 Blackwell GPUs, providing native support for both PyTorch and TensorFlow with CUDA 12.8. Run machine ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

根据Lex Fridman的观点，Linux、PyTorch、TensorFlow以及开源大语言模型等顶级开源项目为当前AI技术生态提供了坚实基础，推动了行业创新并显著降低了企业AI开发成本。这些开源工具为云计算、自动化系统和数据分析等领域提供了强大的基础设施和灵活的机器学习框架 ...

The current Segmentation machine learning code uses TensorFlow 1 which is incompatible with Python 3.11 needed by other software packages. The thing to do is to replace TensorFlow with PyTorch since ...

Abstract: This paper presents the design of a framework for loading a pre-trained model in PyTorch on embedded devices to run local inference. Currently, TensorFlow Lite is the most widely used ...