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

Improved FFT Algorithm with Hybrid Radix Decomposition and Memory Optimization for Embedded Audio Processing

Abstract: In order to solve the contradiction between real-time spectrum analysis and resource limitation in embedded audio processing, this paper proposes an efficient FFT algorithm based on mixed ...
BGR

Squid Game's Unnecessary Final Season Is Another Example Of Algorithms Trumping Art

There's a familiar TV discourse taking shape online right now, the kind that I suspect will look awfully familiar to you if you remember the way Game of Thrones crashed and burned in its eighth and ...
Frontiers

Experimental investigation of vibrational signal in a fault induced Francis runner

Turbine Testing Lab, Department of Mechanical Engineering, Kathmandu University, Dhulikhel, Nepal Hydro turbines are prone to failure and the detection of fault in turbine is essential to ensure the ...
GitHub

Example: FFT SoC

Being done in PipelineC it's possible to automatically pipeline both the math of some RISC-V instructions as well as the arbitrary pure functions that describe the custom compute pipelines attached to ...
AZoOptics

What is the Difference Between FFT and PSD?

Fourier transform is a key method for analyzing signals in both time and frequency domains. The FFT is a computational algorithm that efficiently computes the discrete Fourier transform (DFT) and its ...