Abstract: Sampling from the posterior distribution in latent diffusion models for inverse problems is computationally challenging. Existing methods often rely on Tweedie's first-order moments that ...

Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...

Tightly coordinated data movement and low-latency on-chip storage for real-time environments.

Abstract: The “Automated Math Equation Recognition and Problem Solving with Computer Vision” research work is to develop a framework that utilizes computer vision methods to consequently recognize ...

Amateur mathematicians are using artificial intelligence chatbots to solve long-standing problems, in a move that has taken professionals by surprise. While the problems in question aren’t the most ...

Manipulatives can be a powerful tool in any mathematician’s toolbox. Just as we might take a screw or a wrench to fix a squeaky chair, we can use manipulatives to help solve math problems. We may see ...