As AI evolves, the value of deep learning continues to grow, but implementing it can be a complex, risky, and time-consuming process. Intel is looking to change that with its new open-source ...

One example of JD.com’s application of AI is the use of a containerised Kubernetes cluster for machine learning to manage product image quality control, identification and categorisation.

This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster. Therefore I will explain how to easily ...

H2O.ai: Best for building AI models and applications. H2O.ai is a fully open source, distributed in-memory machine learning platform that supports widely used statistical & machine learning ...

Recently, Shaila Niazi, a third-year doctoral student in Çamsari’s lab, achieved a significant breakthrough in that effort, becoming the first to use probabilistic hardware to train a deep generative ...

Project Brainwave is a deep learning platform for real-time AI inference in the cloud and on the edge. A soft Neural Processing Unit (NPU), based on a high-performance field-programmable gate array ...