In resistor networks, physics computes voltages at selected output nodes automatically and rapidly by exploiting Kirchhoff’s laws when voltages are applied at input nodes. Such networks have been ...

description [NeurIPS 2025][Video Understanding][point tracking] Inspired by the Lattice Boltzmann Method from fluid dynamics, this work proposes LBM (Lattice Boltzmann Model) for online real-time ...

Abstract: Extreme learning machine (ELM) owns the advantages of less computational efforts and simple topology with single-hidden layer structure. However, the performance of plain ELM is sensitive to ...

Abstract: The Deep Belief Network (DBN) recently introduced by Hinton is a kind of deep architectures which have been applied with success in many machine learning tasks. The DBN is based on ...

To get started with XLB, you can install it using pip. There are different installation options depending on your hardware and needs: The changelog for the releases can be found here. For examples to ...

The Maxwell–Boltzmann distribution describes the probability distribution of molecular speeds in a sample of an ideal gas. Introduced over 150 years ago, it is based on the work of Scottish physicist ...

The authors note “After publication, we observed significant variation in model performance across trials including stochastic and unpredictable behavior during ...

ABSTRACT: The rapid growth of technology impacts all aspects of modern life, including banking and financial transactions. While these industries benefit significantly from technological advancements, ...

If your jaw dropped as you watched the latest AI-generated video, your bank balance was saved from criminals by a fraud detection system, or your day was made a little easier because you were able to ...