Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
IEEE

Research on the Application of Parallel FFT Algorithms in Matched Filtering Techniques

Abstract: The ever-increasing demands for signal processing speed and accuracy in modern communication or radar systems underscore the pivotal role of Matched Filtering (MF) as a critical signal ...
GitHub

Distributed Rate Limiter

A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.
IEEE

CSIFA: A Configurable SRAM-based In-Memory FFT Accelerator

Abstract: In the era of Artificial Intelligent (AI) and big data, the demand for signal processing algorithms for large datasets has grown across various fields, notably in the application of the Fast ...
GitHub

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

@article{chen2025diffusion, title={Diffusion forcing: Next-token prediction meets full-sequence diffusion}, author={Chen, Boyuan and Mart{\'\i} Mons{\'o}, Diego and ...