Meta-formerly-Facebook has deactivated automated systems that proactively tracked and limited the spread of viral ...

Certain grammatical rules never appear in any known language. By constructing artificial languages that have these rules, ...

Binjumah, W. (2025) A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning. International ...

"Density-functional theory is very bad at describing processes ... But a new paper in npj Computational Materials shows that even a simple machine learning model, trained with a modest amount ...

Effective learning isn't just about finding the easiest path—it's about the right kind of challenge. Two prominent theories—Desirable Difficulties (DDF) and Cognitive Load Theory (CLT)—offer ...

Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116024, China ...

Georgia’s voting machines became the focus of several conspiracy theories following the 2020 election, with some arguing that Dominion Voting System technology couldn’t be trusted. Georgia election ...

Learning Theory, Machine Learning Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission ...

Machine Learning, Data Science and Artificial Intelligence students ... mathematics (linear algebra, calculus, probability theory, statistics, and discrete mathematics) computer science (good ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

A responsive and visually appealing personal portfolio website built with HTML and CSS to showcase your profile, skills, and machine learning projects. Features include smooth navigation, project ...