This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

These AI-powered tools automate complex trading strategies across multiple markets, including forex, gold, futures, and ...

After earning a bachelor’s degree in mathematics and economics then working in research at the Federal Reserve Bank in New ...

Following the introduction of an artificial intelligence concentration and bachelor’s degree, Mississippi State is now ...

With industries increasingly valuing skills over traditional credentials, many are rethinking the value of a master's degree.

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

A new microcredential developed by Siemens includes courses in product lifecycle management and trending applications of AI, ...

STARKVILLE, Miss.—A new Master of Science in Artificial Intelligence program at Mississippi State will prepare students for ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Multimodal machine learning (MML) is a tempting multidisciplinary research area where heterogeneous data from multiple modalities and machine learning (ML) are combined to solve critical problems.

Designing, building, and applying new technologies—especially those that include artificial intelligence—can be a double-edged sword: powerful and enabling on the one hand, but potentially biased and ...