Experts from Snowflake and Informatica joined DBTA's webinar, From Data to Insights: Leading-Edge Analytics & BI with Informatica & Snowflake, to evaluate actionable strategies and success stories for ...

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

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

As the pace of AI adoption accelerates, a pressing question confronts colleges: How can we equip students to lead in the AI ...

The World Economic Forum’s Future of Jobs Report highlights that AI will contribute a net growth of 78 million jobs globally ...

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is ...

STARKVILLE, Miss.—A new Master of Science in Artificial Intelligence program at Mississippi State will prepare students for high-demand careers in one of the fastest-growing fields of technology.

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

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.

The SETI Institute Data Science team plays a central role in the data processing pipelines for both NASA's Kepler and TESS science processing pipelines. We also actively develop pipelines for several ...