Over the past decade, park assist systems have become a common feature in modern vehicles. These systems, traditionally ...

AI models are numerous and confusing to navigate, but the benchmarks used to measure their performance are also challenging.

Random Forest Model, Alteration Information, Mineral Resource Potential Assessment, Prospecting in Botswana, Remote Sensing ...

Researchers at Wuhan University developed Fair Adversarial Training (FairAT), a technique that enhances the fairness and ...

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 ...

Developed the machine learning algorithm E2T and its software for learning to learn for extrapolative prediction.Achieved ...

In a highly regulated area like financial services, generative AI tools can still go off the rails, says Keith Toney, ...

A new AI model from the University of Bern predicts planetary systems likely to host Earth-like planets. It could boost the ...

New indications discovered by applying active machine learning and using samples from the company’s vast biobank of live-cell tumors ...

This important study presents single-unit activity collected during model-based (MB) and model-free (MF) reinforcement learning in non-human primates. The dataset was carefully collected, and the ...

This is done without any knowledge of individual user emails. We then derive a representation, called an embedding, of each synthetic message that captures some of the key dimensions of the message ...