Machine learning (ML), a critical subset of artificial intelligence (AI), has witnessed tremendous growth and adoption across various sectors. These models enable computers to learn from data and make ...

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...

Each of the National Science Foundation (NSF)-funded projects focus on bilevel optimization, something that principal investigator and computer science and engineering assistant professor Kaiyi Ji ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

A deep-learning model called Geneformer has been developed and pretrained using about 30 million single-cell gene-expression profiles to enable it to make predictions about gene-network biology in ...

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A new study presented at the ACS Spring 2023 meeting shows how the powerful computational techniques behind artificial intelligence tools such as ChatGPT can help chemists train machines to better ...

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...