Communications of the ACM

Building Intelligent Agents with Neuro-Symbolic Concepts

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Tech Xplore

Foundation AI models trained on physics, not words, are driving scientific discovery

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
IEEE

Intelligent Human Gait Phase Classification Using Machine Learning Models

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
IEEE

Data-Driven Machine Learning Models for Enhanced Fetal Health Classification and Monitoring

Abstract: Fetal health classification plays a critical role in prenatal care by identifying potential risks and ensuring timely intervention. This study explores the application of multi-class ...