Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...

Adult learning in the United States continues to evolve as colleges, universities, and professional programs adapt to the ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

The Materials Science Learning Center (MSLC) offers resources and expert insights to enhance materials characterization and accelerate scientific breakthroughs.

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Some USF students said varying temperatures in multiple buildings across the Tampa campus have left them on edge and ...

Talking to oneself is a trait which feels inherently human. Our inner monologs help us organize our thoughts, make decisions, ...

Learning is not just about spending long hours with books; it is about learning smarter and following how the brain naturally ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...