Open source AI tools
- June 29, 2020
IBM donates open source toolkits AI Fairness 360, Adversarial Robustness 360 and AI Explainability 360 to the Linux Foundation amid calls for more ethical AI.
- April 23, 2020
PyTorch 1.5 introduces TorchServe, a model serving library, and TorchElastic, a Kubernetes controller. Both applications are still in experimental mode.
- October 30, 2019
With the new TensorFlow for enterprises, organizations running previous versions of TensorFlow can get long-term support, including security updates and select bug fixes.
- October 03, 2019
A team at Cornell Tech built a clothing recognition dataset, and recently turned to Samasource, which provides AI training data services, to annotate tens of thousands of images.
- August 27, 2019
The Chinese technology vendor Huawei aims to speed up AI training times with the launch of a new processor in China and a new AI computing framework.
- August 09, 2019
IBM's open source AI Explainability 360 toolkit packages algorithms and training examples to help humans better understand the decision-making process of machine learning models.
- May 02, 2019
Databricks user ShopRunner talks about the tools showed at Spark + AI Summit 2019, such as MLflow and Databricks Delta Lake. And Datameer reveals new Databricks integration.
- April 24, 2019
Databricks Delta is now Delta Lake, an open source tool for building in data lakes. Databricks introduced the product at Spark + AI Summit 2019, alongside the upcoming Spark 3.0.
- April 19, 2019
Enterprises are having a hard time hiring data scientists, who are scarce and high-priced. But as edge devices get smarter, they may not need them as badly.
- March 06, 2019
Google AI, the AI research and development team at Google, made GPipe a framework for building large-scale and accurate deep neural networks open source.