Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

A quiet shift is occurring in species naming, moving beyond traditional Latin to incorporate Indigenous and local knowledge systems. This thoughtful approach acknowledges generations of understanding, ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Researchers at the University of Helsinki have developed artificial-intelligence methods that significantly improve the accuracy of bird sound identification, strengthening passive-acoustic monitoring ...

A rough diamond unearthed in Botswana in the final quarter of 2025 has drawn sustained attention from geoscientists and ...

Ultraprocessed foods can be considered unhealthy because they are often low in essential nutrients such as vitamins, minerals ...

The history of cancer research is long, stretching back to 1713 when physician Bernadino Ramazzini observed that nuns faced ...

Scientists utilized artificial intelligence (AI) to reanalyze approximately 100 million photos from the Hubble Space ...

Cancer biology is a rapidly evolving field, with pathology and biomarker research at the forefront of innovations in ...

Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...

Using artificial intelligence, DinoTracker can accurately classify dinosaur tracks around 90 percent of the time ...