Abstract: Real-world software–hardware co-design for AI accelerators must meet strict constraints on accuracy and PPA, making design space exploration both costly and inefficient. In this work, we ...
Abstract: This paper presents a comparative study of LLM-guided parameter tuning and Bayesian Optimization (BO) for automated PI parameter adjustment in Low Level Radio Frequency (LLRF) systems. Both ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Outline In this tutorial I am going to present the use of SpeciesNetwork (Zhang et al. 2017), which is implemented as an add-on package for BEAST2 (Bouckaert et al. 2019) and allows the joint Bayesian ...
This tutorial requires FigTree to be installed. Details about the installation of this tool can be found in tutorial Bayesian Phylogenetic Inference. The dataset of ...