If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

The University of Idaho has received $1.3 million through two multi-institutional grants from the U.S. Department of Defense ...

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...

Machine learning is a powerful tool in materials research. Our collection of articles looks in depth at applications of machine learning in various areas of materials science. Machine learning holds ...