Unite.AI

Why the AI Chip Race Now Runs on Software

Every new AI accelerator arrives with a benchmarking story: peak throughput, teraops per watt, impressive numbers that ...
GitHub

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

For the artificial intelligence (AI) engineering, 95% of the time and effort is consumed by data related workloads. In order to tackle this challenge, tech giants spend thousands of hours on building ...
IEEE

In-Hardware Training Chip Based on CMOS Invertible Logic for Machine Learning

Abstract: Deep Neural Networks (DNNs) have recently shown state-of-the-art results on various applications, such as computer vision and recognition tasks. DNN inference engines can be implemented in ...
GitHub

Triton Inference Server

Triton Inference Server is an open source inference serving software that streamlines AI inferencing. Triton enables teams to deploy any AI model from multiple deep learning and machine learning ...
IEEE

Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty

Abstract: Deep-learning-based health prognostics is receiving ever-increasing attention. Most existing methods leverage advanced neural networks for prognostics performance improvement, providing ...