Latest Publications & Patents on Examples of Fast Fourier Transform (FFT)

This week: Artificial Neural Networks, Acoustic Signals, Electrical Discharge Turning, Multilabel Classifier, Dynamic Engineering, MIMO Radar, Efficient Processing, FPGA, Accuracy Evaluation, Multi-Technique Combination, Terrestrial Reference Frame, Singular Spectrum Analysis, Noise Hotspots, Metro Underground, Track Characteristics, Sustainable Transport Planning, Bias Estimation, Low-Cost IMU, Accelerometers, Inertial Navigation Systems, Millimeter-Wave Imaging, 3D Depth Extraction, Glow Discharge Detection, Frequency-Modulated Continuous Wave Radar, Doppler division multiplexing, multiple-input multiple-output, radar system, decoding method, radar detection, fast Fourier transform (FFT), peak detection, angle of arrival calculations

August 30, 2025

Advanced Driver-Assistance Systems (ADAS), Artificial Intelligence (AI), Doppler Effect, Fast Fourier Transform (FFT), Large Language Models (LLM), Machine Learning, Natural Language Processing (NLP), Patent, Sensors

Tip: further to this selection on Aeronautics, you can search and filter our:
* free publications search tool * by author, topic, keywords, date or journal.
* free patents search tool * for patents in English from the European Patent Office.

This is our latest selection of worldwide publications and patents in english on Examples of Fast Fourier Transform (FFT), between many scientific online journals, classified and focused on fast fourier, FFT, discrete fourier and Cooley–Tukey.

Patents: no recent patent on this particular topic. Please try the extensive manual search in the Patents Database linked just above.

Automatic Configuration Search for Parameter-Efficient Fine-Tuning

Published on 2024-05-25 by Han Zhou, Xingchen Wan, Ivan Vuli?, Anna Korhonen @MIT

Abstract: Large pretrained language models are widely used in downstream NLP tasks via task-specific fine-tuning, but such procedures can be costly. Recently, Parameter-Efficient Fine-Tuning (PEFT) methods have achieved strong task performance while updating much fewer parameters than full model fine-tuning (FFT). However, it is non-trivial to make informed design choices on the PEFT configurations, such as their architecture, the number of tunable parameters, and even the layers in which the PEFT modules[...]

Our summary: Efficient fine-tuning method achieved with fewer parameters. AutoPEFT uses Bayesian optimization to discover optimal configurations. Outperforms existing methods on GLUE and SuperGLUE tasks. Pareto-optimal set balances performance and cost.

automatic configuration search, parameter-efficient fine-tuning, neural architecture search, pretrained language models, task-specific fine-tuning

Publication

Table of Contents

Add a header to begin generating the table of contents

DESIGN or PROJECT CHALLENGE?
Mechanical Engineer, Project or R&D Manager

Available for a new challenge on short notice in France & Swiss.
Contact me on LinkedIn
Plastic & metal products, Design-to-cost, Ergonomics, Medium to high-volume, Regulated industries, CE & FDA, CAD, Solidworks, Lean Sigma Black Belt, medical ISO 13485 Class II & III

We are looking for a new sponsor

Your company or institution is into technique, science or research ?
> send us a message <

Topics covered: Fast Fourier Transform, FFT, discrete Fourier, Cooley–Tukey, acoustic signals, artificial neural networks, electrical discharge turning, Doppler division multiplexing, multiple-input multiple-output, radar system, peak detection, angle of arrival calculations, dynamic principal component analysis, feature extraction, binary classifier modeling, signal processing, parameter-efficient fine-tuning ISO/IEC 27001, ISO 9001, ISO/IEC 25010, IEEE 754, and ISO 14001..