That means developers will soon be able to run MLX models directly on NVIDIA GPUs, which is a pretty big deal. Here’s why.

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from guaranteed.

oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN project is part of the UXL Foundation ...

Lightchain AI positions itself as the first Layer-One blockchain where AI logic truly lives and breathes on-chain. Having completed all 15 presale stages and launched its Bonus Round at a fixed price ...

In this article, we present a hardware architecture optimized for sparse and dense matrix processing in TensorFlow Lite and compatible with embedded-heterogeneous devices that integrate central ...

Hollow-core architecture has benefits in latency and power management, whereas a multi-core architecture increases capacity via spatial multiplexing.

Deepfake Image Detection using Convolutional Neural Networks (CNN) with PyTorch and TensorFlow, achieving ~97% accuracy. Classifies real and fake images with efficient preprocessing and model training ...

Framework transition From PyTorch/TensorFlow to MindSpore Instead of leveraging CUDA through frameworks like PyTorch and TensorFlow, Huawei’s Ascend processors need MindSpore; tightly integrated with ...