Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

Their findings demonstrate that although spurious correlations—a simple example of which is when a machine-learning system, not having "seen" many cows pictured at the beach, classifies a photo of a ...

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.