Big projects generate errors and have a range of artefacts, so most researchers agree that data should be released to the larger community sooner rather than later.

Foundry’s recent Data & Analytics Study looked into why organizations have difficulty making good on the promise of data-driven projects, and revealed several key roadblocks to success.

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will ...

#1110:Appendix:Adopted projects related to the April 2015 Nepal earthquakeAdopted projects related to the April 2015 Nepal earthquake in the J-RAPID Program ...

Today, METI formulated an R&D and Social Implementation Plan for automobile-related projects based on discussions by the Working Group on the Field of Industry Structure Transformation.

IBM executive Arvind Krishna said data-related challenges are a top reason clients have halted or canceled artificial-intelligence projects.