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What makes JAX different from PyTorch and TensorFlow - 100 seconds

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 ...
VentureBeat

Google expands TensorFlow open-source tooling for accelerated machine learning development

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The big artificial intelligence (AI) news at Google I/O today is the ...
InfoWorld

TensorFlow unveils MLIR for faster machine learning

Engineers working on Google’s TensorFlow machine learning framework have revealed a subproject, MLIR, that is intended to be a common intermediate language for machine learning frameworks. MLIR, short ...
VentureBeat

Google launches TensorFlow Quantum, a machine learning framework for training quantum models

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google today announced the launch of TensorFlow Quantum, bringing ...
Electronic Design

Basics of Design: What is TensorFlow?

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...
Bleeping Computer

Google's TensorFlow drops YAML support due to code execution flaw

TensorFlow, a popular Python-based machine learning and artificial intelligence project developed by Google has dropped support for YAML, to patch a critical code execution vulnerability. YAML or Yet ...
EurekAlert!

Tensor networks: Enhancing interpretability and efficiency in quantum-inspired machine learning

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...