CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...

According to information from the National Intellectual Property Administration, Oracle International Company has been granted a patent for "Dynamic Data Selection for Machine Learning Models" ...

A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...

The intersection of artificial intelligence governance and practical machine learning implementation represents one of the most critical challenges facing modern enterprises. This reality became ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Importantly, explainable AI is beginning to be integrated into these systems, offering pathways to clarify how models reach their conclusions. This emerging focus on interpretability is seen as ...

A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...

AI models trained on question-answer datasets aim to lower the barrier to entry for using AI in materials science.

AutoBot platform combines machine learning and robotics to rapidly find the best ways to make advanced materials.

More recently, deep learning and evolutionary algorithms have enabled long-term ecological forecasting, carbon emission ...

Waning trust in tech companies has given rise to a new C-suite role: chief trust officer, tasked with restoring transparency ...