Like MLOps is the application of the DevOps principles and practices to the special needs that arise from developing machine learning at scale, we would argue MLGUI is the rise.

Applications Big Data and Analytics IT Management Why Machine Learning Projects Fail – and How to Make Sure They Don’t The first step to a successful ML project is to understand that these ...

Metallic alloys for aerospace components are expected to be made faster and more cheaply with the application of machine learning in Project MEDAL.

Machine learning is becoming an increasingly important analytical tool, enabling businesses to extract meaningful information from raw data, offering accurate analyses and complex solutions to ...

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning ...

Streamlit, a new machine learning startup from industry veterans who worked at GoogleX and Zoox, launched today with a $6 million seed investment and a flexible new open-source tool to make it ...

Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm. npj Computational Materials, 2019; 5 (1) DOI: 10.1038/s41524-019-0203-2 ...

Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required by Danielle Randall Doughty, Massachusetts Institute of Technology ...