Two examples of automated machine learning already in the wild come in the form of enhancements to the widely used Scikit-learn project ... It uses a web interface to make the training process ...

the open source world is ripe with projects to support software development on the frontiers of artificial intelligence and machine learning. Open source is fertile ground for transformative ...

Automating some of the more time-consuming and repetitive tasks that are necessary for the development of a machine-learning model, therefore, enables organizations to deploy the technology more ...

Machine learning is an increasingly ... For example, the World Bank’s Project DeCODE uses it to analyze written documents, and glean information that can help predict changes in development projects ...

At Cloud Next 2019, Google announced the launch of AI Platform, a comprehensive machine learning service ... Jupyter Lab, the latest web-based interface for Project Jupyter, the de facto standard ...

Half (48%) of developers believe machine learning projects are too time-consuming, according to new research from Civo. The study of more than 500 developers revealed that one-quarter (24% ...

Artificial intelligence (AI) and machine learning (ML) offer all the same ... mathematicians and data scientists come out of research projects. “We’re only recently as a scientific community ...

Through the Rapid Assessment of Platform Technologies to Expedite Response (RAPTER) project, the scientists leverage machine learning and ... Historically, vaccine development is a lengthy and ...

The potential for machine learning algorithms to accelerate drug formulation could reduce the time and cost associated with drug development ... "When we began this project, we were surprised ...