Automated machine learning (AutoML) is the automated process that applies machine learning models to real-world problems. AutoML automates the selection, composition and tuning of algorithms. It ...

Realizing a return on investment for data science projects often relies on data scientists' ability to fail quickly and then recover to deliver finished projects in a timely fashion. However, many of ...

Researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research. University of Minnesota Twin Cities researchers have ...

A new open access study proposes a four-layer framework combining machine learning forecasting, uncertainty-aware ...

Orthoimagery derived from unmanned aerial vehicles (UAVs) has become a valuable data source for crop-growth monitoring. Individual plant-level (IPL) information enables high-throughput analyses by ...

Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...

University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research. In their ...