2023年05月25日 早上 09:30
SmartUQ Workshop: 精準、全面的機器學習軟體，專為工程模擬和數位分身應用設計。
隨著數位工程的興起，模擬和數位分身已經被廣泛應用於許多行業，包括電子、半導體和化學行業。數位工程的好處包括解決複雜性和不確定性等挑戰，進而帶來更好的決策、更有信心的設計和更有效率的工程流程。為了滿足他們的數位工程需求，包括航空航天、國防、汽車、半導體、能源和醫療設備等多個行業的財富100和500公司正在使用SmartUQ。
SmartUQ是一款快速、精確和全面的機器學習（ML）軟體工具，專為模擬、數位分身和其他工程應用而設計。 SmartUQ包括最佳的高斯過程（GP）ML模型，其在培訓速度和預測準確性方面顯著優於競爭對手。
在本次研討會中，SmartUQ應用工程師將介紹SmartUQ並展示來自半導體和電子行業的客戶模擬和數位分身案例。
接下來是一個簡短的培訓，展示如何使用SmartUQ最受歡迎的ML工具來解決在研討會前半部分所提出的工程問題。
本次研討會總共90分鐘，其中60分鐘用於演示，剩餘的30分鐘用於觀眾問答，包括演示期間和演示結束後。鼓勵參加者準備好任何與人工智能和ML使用相關的問題。
SmartUQ Workshop: Accurate, Comprehensive Machine Learning Software for Engineering
Simulation and Digital Twin Applications.
As part of a growing shift toward digital engineering, simulation and digital twins are widely used by many industries including the electronics, semiconductor, and chemical industries. The benefits of digital engineering include addressing the challenges of complexity and uncertainty, which leads to benefits such as better-informed decision making, more confidence in designs, and more efficient engineering processes. To help address their digital engineering needs, Fortune 100 and 500 companies
across many industries including aerospace, defense, automotive, semiconductor, energy, and medical device are currently using SmartUQ.
SmartUQ is a fast, accurate, and comprehensive Machine Learning (ML) software tool optimally designed for simulation, digital twin, and other engineering applications. SmartUQ includes best in class Gaussian Process (GP) ML models, which significantly outperform the competition in terms of training
speed and predictive accuracy.
During this workshop a SmartUQ Application Engineer will introduce SmartUQ and present customer simulation and digital twin use cases from the semiconductor and electronics industries.
This will be followed by a brief training showing how to use SmartUQ’s most popular ML tools for solving the sorts
of engineering problems presented in the first half of the workshop.
The Workshop will be 90 minutes in total, with 60 minutes of presentation. The remaining 30 minutes will be for audience Q&A both during and at the conclusion of the presentation. Attendees are encouraged to come prepared with any of their own questions on the use of Artificial Intelligence and
ML.
