Kelly Arispe, a professor of Spanish and School for the Digital Future launch director, recently published her paper “The ...

Often, I hear uncertainty about the future framed as a debate around how people learn. There is ongoing speculation — by training and development experts within organizations as a conversation among ...

The recent development of large materials databases has fueled the application of DL methods in atomistic prediction in particular. In contrast, advances in image and spectral data have largely ...

Within the United States, education is commonly regarded as an equalizer to opportunity and upward mobility. In reality, there are countless impediments in the system that exclude low-income children ...

For his research in machine learning-based electron density prediction, Michigan Tech researcher Susanta Ghosh has been recognized with one of the National Science Foundation's highest honors. The NSF ...

The retail sector struggles with various issues, not the least of which is an uncertain future. A retailer’s choice of an LMS ...

Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence ...

An artificial intelligence technique -- machine learning -- is helping accelerate the development of highly tunable materials known as metal-organic frameworks (MOFs) that have important applications ...