Imagine you're cooking. You're trying to develop a unique flavor by mixing spices you've never combined before. Predicting ...

Nano-architected materials combine highly efficient shapes similar to triangular structures in bridges, but at the nanoscale, ...

Machine learning (ML) algorithms are constantly finding new applications in all scientific fields, and geological engineering ...

Facial emotion recognition could have broad applications across health care, education, marketing, transportation, and ...

Prior Labs secures $9.3 million in 'preseed' funding to build foundation models for handling this common, but complex data ...

Researchers have explored how integrating machine and deep learning techniques can create a standardized system for evaluating rock climbing routes to provide a difficulty grading scale that promotes ...

This new machine learning technology could help farmers optimize harvest timing and improve the quality of the produce.

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.

AI is revolutionizing quality control in electronics manufacturing by enhancing inspection processes and reducing costs. Anna ...

The introduction of BadUnlearn highlights a previously unaddressed security risk, demonstrating that FU alone is not a ...

Traditional biodiversity monitoring methods, such as direct observations and morphological classifications, often fall short ...

Rice scientists and collaborators at Baylor College of Medicine have demonstrated a new method for detecting the presence of ...