MIT Technology Review

A startup claims it broke through a bottleneck that’s holding back LLMs

Subquadratic has now shared more details about its new model. But some are still skeptical. The Miami-based AI startup Subquadratic came out of stealth mode last month with a huge claim. It announced ...
IEEE

An Enhanced Low-Computational-Complexity Predefined-Time Convergent Zeroing Neural Network for Constrained Time-Varying Quadratic Programming With Kinematic Control of Robotic ...

Abstract: Time-varying quadratic programming (TVQP) problems can be regarded as a challenging issue in a wide range of engineering applications, frequently incorporating equality, inequality, and ...
GitHub

Paul-Clue/context-graph

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IEEE

Space–Frequency Cross-Attention Node Feature Optimization Graph Neural Operator for Partial Differential Equations

Abstract: Neural operators, such as graph neural operators (GNOs) and Fourier neural operators (FNOs), directly learn the mapping from any functional parametric dependence to the solution and have ...