The main objective of this code is to provide different identification methods to build linear models of dynamic systems, starting from input-output collected data. The models can be built as transfer ...

Abstract: Large language models (LLMs) trained on code-completion have been shown to be capable of synthesizing simple Python programs from docstrings [1]. We find that these code-writing LLMs can be ...

Abstract: The performance of the recursive least-squares (RLS) algorithm is governed by the forgetting factor. This parameter leads to a compromise between (1) the tracking capabilities and (2) the ...

Could These 3 New-to-Market Quantum Computing Firms Threaten D-Wave? Horizon Quantum Computing Pte. (NASDAQ:HQ) used its ...

Zaya1-8B is a huge shift in LLMs, and the results are impressive.

Overview:  AI coding tools help developers write code faster, fix bugs more easily, and spend less time on repetitive work. Many tools also help with testi ...