Recent advancements in machine learning have substantially transformed the optimisation of the steelmaking process. Traditional methods, often limited by complex thermodynamic interactions and ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

According to market research firm Gartner, Inc., in assessing the completion rate of data science projects, as well as the bottom-line value they generate for their companies, only between 15 and 20 ...

Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...

Manufacturers are advancing AI-powered initiatives to gain efficiencies, especially around maintenance, quality and energy ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions control systems using machine learning and algorithm-based optimization. The ...

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...