In the past several years, researchers have exploited the pattern-finding power of machine learning to create new frameworks ...

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways and by many consumers to unlock their cell phones or pay for their morning ...

Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer ...

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways ...

When machines fall short, we adjust. When students do, we blame. Here's what that says about learning and instruction.

Carnegie Mellon celebrates faculty, staff and graduate students for their exceptional contributions in education, teaching, advising, mentoring and service with its annual Celebration of Education ...

Mata, B. and Madisetti, V. (2025) Large Language Models (LLMs) for Software Security Analysis. Journal of Information ...

Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning.

A fiber sensor inspired by the shape of DNA, developed by researchers at Shinshu University, introduces a new design for more ...

This integrated view of function and structure lays a foundation for ... increased computing power and advances in machine learning and artificial intelligence — suddenly made those challenges ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

In a perspective, Northwestern Engineering’s Chad Mirkin and Milan Mrksich argue that structural precision drives therapeutic ...