From deepfakes to natural language processing and more, the open source world is ripe with projects to support software development on the frontiers of artificial intelligence and machine learning.

The technology released to pen source includes an API that researchers can use to explore a Google computer vision system that automatically detects and identifies objects in an image.

First, the scanned image is pre-processed using image processing techniques to enhance the quality and remove the noise. Second, the core components of the diagrams, such as pipes, symbols, lines and ...

The free app aims to make machine learning easier for people to use and helps them train models without writing code.

Machine learning workloads require large datasets, while machine learning workflows require high data throughput. We can optimize the data pipeline to achieve both.

Specifically, an image encoder is designed to encode images into the same feature space of corresponding text sentences, with the guidance of an intra-modal and inter-modal contrastive learning module ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

This high-performance standard protocol should make it easier for businesses to deploy and query machine learning models from any framework.