A new AI-based system can generate high-resolution soybean yield maps across Brazil using only limited local data, improving ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...

Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel ...

A team of astronomers based at the European Space Agency demonstrated how artificial intelligence technology will alter existing methods of locating rare astronomical phenomena within our galaxy, the ...

Scientists at the Joint BioEnergy Institute (JBEI) have developed two methods to accelerate the ...