IEEE

A Nonparametric Variable Forgetting Factor Recursive Least-Squares Algorithm

Abstract: The forgetting factor is the main control parameter of the recursive least-squares (RLS) algorithm, which is set to balance between the estimate accuracy and the tracking capability.
IEEE

A Novel Variable Forgetting Factor Recursive Least Square Algorithm to Improve the Anti-Interference Ability of Battery Model Parameters Identification

Abstract: Recursive least square (RLS) algorithms are considered as a kind of accurate parameter identification method for lithium-ion batteries. However, traditional RLS algorithms usually employ a ...

Create simple UX for domain-specific languages with VS Code

Generic formats like JSON or XML are easier to version than forms. However, they were not originally intended to be ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

Quantum computers need vastly fewer resources than thought to break vital encryption

Building a utility-scale quantum computer that can crack one of the most vital cryptosystems—elliptic curves—doesn’t require ...
Barron's

Why TurboQuant Hammered Memory Stocks—and Why ‘Jevons’ Paradox’ Means the Market Might Be Wrong

Highflying memory stocks like Micron and SanDisk have been dented this week and it might have something to do with TurboQuant, a compression algorithm detailed by Google in a research paper this week.
GitHub

intelligent-control-lab/AGen

install dependancy and data preprocessing see full_preprocessing_demon.md please modify dataset file name in validate_utils.py & adaption.py Install AGen clone files ...