通过智能协作（Magestic）项目，机器学习驱动的电子系统的自动生成将持续四年，并将包括卡内基·梅隆大学（Carnegie Mellon University）的机器学习专家和Fabless Chip Company Nvidia。
It is under the umbrella of DARPA's the Intelligent Design of Electronic Assets (IDEA) program, which in turn is one of six programs within DARPA’s Electronics Resurgence Initiative (see应用的，为神经形态应用开发CERAM的手臂）。
Cadence说，DARPA投资的目标是帮助创建更具自动化的电子设计能力，从而使电子行业以及航空航天和国防生态系统受益。该程序旨在实现自主意图驱动的设计。
Cadence已经在应用机器学习来改善工具和设计流程，并改善知识产权核心或用核心靶向ML。
Magestic计划的目的是：自动化设备的路由和调整以提高可靠性，电路性能和弹性；通过使用机器学习，分析和优化来提高功率，性能和区域（PPA）结果。它还打算向工具和设计流的用户学习，以确定最佳实践，并补充基于云的EDA用于计算较重的分销工作负载。
"We’ve been leading the industry in the development, deployment and support of electronic design flows that use machine learning, analytics and optimization technologies. This program will accelerate our roadmap toward realizing intelligent design flows for the next big leap in design productivity," stated Anirudh Devgan, president of Cadence, in a statement. "This program will set the stage for enhancing the entire span of our analog, digital, verification, package and PCB EDA technologies, providing our customers with the most advanced system design enablement solutions."
相关链接和文章：
新闻文章：
