Nvidia lost billions of dollars from its market value after a report claimed that Meta, the parent company of Facebook and ...

Abstract: With the emergence of AI(artificial intelligence), it is becoming more and more critical for organizations to utilize it to their advantage. However, organizations that possess a decent ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

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 ...

Abstract: Deep learning frameworks play a key rule to bridge the gap between deep learning theory and practice. With the growing of safety- and security-critical applications built upon deep learning ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

Swift for TensorFlow was an experiment in the next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems ...

TensorFlow is an open-source machine learning framework built by Google, and this 100-second video explains how it works from the ground up. You’ll learn how TensorFlow handles tensors, builds ...

This is a guide for users who want to write custom c++ op for TensorFlow and distribute the op as a pip package. This repository serves as both a working example of the op building and packaging ...