When Data Mining Meets Large Models: A New Paradigm of Data Value Mining in the Age of Artificial Intelligence ...

Discretization algorithms serve as a critical pre-processing step within data mining and machine learning, transforming continuous attributes into discrete categories to enhance the interpretability ...

There are several types of augmented analytics that can be used to make data-driven decisions. These include natural language ...

Technological innovations, particularly in the data and machine learning space, are pivotal in addressing the increasing global demand for critical minerals, highlights geoscience software company ...

NASHUA, N.H., Sept. 4, 2025 /PRNewswire/ -- A large majority of survey respondents say artificial intelligence (AI) is taking a direct strategic or supporting role, sometimes driving the business, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data to ...

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...

In recent years, machine learning (ML) has emerged as one of the most significant trends in technology, reshaping industries and redefining how businesses operate. From enhancing user experiences to ...

Mining companies today face a tough mix of rising costs, deeper exploration challenges, and soaring demand for critical minerals. Technology is becoming […] ...

Inspired by biology, researchers have achieved the highest performing underwater adhesive hydrogel technology to date through a data mining and machine learning approach. Hydrogels are a permeable ...