The potential of big data analytics (BDA) to transform the prevention, diagnosis, and treatment of cardiovascular diseases ...

A new deep learning method called DLE-EM accelerates SEM imaging of geological materials by up to 16×, enabling large-scale, ...

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.

Performance Metrics of the Model: The effectiveness of AI-based hardware Trojan (HT) detection models can be assessed by a range of classification metrics, including accuracy, precision, recall (true ...

HealthSecureNet operates through a three-tiered machine learning architecture that combines Gradient Boosting and Support ...

Depleting our creative diversity may become one of the hidden costs of AI, but that diversity is worth preserving. If we let ...

Digital learning has become the norm in education, but evaluating its effectiveness remains a challenge. In K-12 settings, ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts.

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change […] ...

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...

Residents of Bowling Green, Kentucky, used machine learning to shape civic debate. The real test is whether the government ...