Scientists in Korea have developed a new methodology to employ machine-learning models in "smart" solar cell manufacturing. They utilized data collected from equipment that closely resembles actual ...

Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...

A team of researchers from the department of civil and mineral engineering in the University of Toronto’s Faculty of Applied Science & Engineering are wielding machine learning to understand where ...

Jeremy’s computational research lab leads the development of machine learning-based models for the analysis of spatial omic data. We caught up with Jeremy at AACR 2024 to discuss his lab’s work, get ...

Las Vegas - Continuing to build on last year, software as a service (SaaS) vendor Workday Inc. has announced more machine learning and artificial intelligence solutions for its human capital ...

SFU computing science professor Oliver Schulte is a leading researcher in sports analytics. Using machine learning, he and his students build models to evaluate players and teams. Their models ...

Machine learning models thrive on high-quality data. For businesses operating in data-intensive environments, ensuring that data is structured, clean and ready for analysis is critical.