We present AutoOED, an Optimal Experiment Design platform powered with automated machine learning to accelerate the discovery of optimal solutions. The platform solves multi-objective optimization problems in time- and data-efficient manner by automatically guiding the design of experiments to be evaluated. To automate the optimization process, we implement several multi-objective Bayesian optimization algorithms with state-of-the-art performance. AutoOED is open-source and written in Python. The codebase is modular, facilitating extensions and tailoring the code, serving as a testbed for machine learning researchers to easily develop and evaluate their own multi-objective Bayesian optimization algorithms. An intuitive graphical user interface (GUI) is provided to visualize and guide the experiments for users with little or no experience with coding, machine learning, or optimization. Furthermore, a distributed system is integrated to enable parallelized experimental evaluations by independent workers in remote locations. The platform is available at https://autooed.org.
World of Bugs: A Platform for Automated Bug Detection in 3D Video Games
Royal Holloway University of London（伦敦大学皇家霍洛威学院）
我们介绍了World of Bugs（WOB），一个旨在支持视频游戏中自动错误检测（ABD）研究的开放平台。我们讨论了ABD中的一些悬而未决的问题以及它们与平台设计的关系，并认为如果要取得进一步的进展，就需要基于学习的解决方案。该平台的主要功能是越来越多的常见视频游戏错误，可用于训练和评估ABD方法。
GreenIQ: A Deep Search Platform for Comprehensive Carbon Market Analysis and Automated Report Generation
Carbonnote；Vuhosi Limited（Vuhosi有限公司）；Universidade NOVA（新里斯本大学）；University of Hull（赫尔大学）；Readrly Limited（Readrly有限公司）；ResilStudio Ltd（ResilStudio有限公司）；Cnergy Capital Ltd.（Cnergy资本有限公司）；Silveredge Consults（Silveredge咨询公司）
University of Tennessee, Knoxville（田纳西大学诺克斯维尔分校）；Pacific Northwest National Laboratory（太平洋西北国家实验室）；University of Maryland, College Park（马里兰大学帕克分校）；The Pennsylvania State University（宾夕法尼亚州立大学）
Automated Hardware Validation Test Plan Generation for Large Scale AI Datacenter Platforms Using a Generative AI Multi-Agents Architecture
School of Systems Science and Industrial Engineering, Binghamton University, State University of New York（系统科学与工业工程学院，宾夕法尼亚州立大学布林茅尔分校）；Meta Platforms, Inc.（Meta平台公司）
