Quick, predictable, and consistent activities provide a foundation to get students thinking and ready to learn.

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 ...

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

Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...

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 ...

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable ...

A team of EPFL researchers has taken a major step towards resolving the problem of drift in generative video, which is what ...

Dyscalculia, characterized by deficits in number sense and calculation skills, affects approximately 5%–7% of the population ...

How do I begin when those reading this piece have a completely different experience in navigating their bodies through this ...

A newly developed AI control system using neuron-inspired learning enables soft robotic arms to learn a broad set of motions ...

Researchers have developed an AI control system that enables soft robotic arms to learn a wide repertoire of motions and ...