新的How-Machine Learning和深度学习可以将传统的CFD模拟速度提高几个数量级,而不是10倍。如图所示。 图:F1赛车空气动力学的CFD模拟与机器学习预测。 本文将为您呈现: CFD速度挑战的历史评估; 当代机器学习工作原理的基本知识。 在探讨人工智能在CFD中的应用之前,我们将带您进行一次导览。我们将展示在各个工业部门部...
The use of AI and machine learning in CAE is increasing, allowing engineers and analysts to: Gain near-real-time insights for design exploration – similar to howANSYS Discovery, with its NVDIA CUDA-based GPU-accelerated solver,has reduced simulation time from days to minutes. Better manage time...
machine learningvirtualizationComputer aided engineering (CAE) practices improved drastically within the last decade due to ease of access to computing resources and open-source software. However, increasing complexity of hardware and software settings and the scarcity of multiskilled personnel rendered the...
How CAE and VR can benefit from Machine Learning It is a challenging time for the automotive industry. Digitalization, electromobility, and autonomous driving are transforming the automotive landscape. Today, as never before, an intelligent virtual development process and short innovation cycles are ...
CAE Contractive AutoEncoder CALA Continuous Action-set Learning Automata CART Classification And Regression Tree CAV Concept Activation Vectors Explainability method that provides an interpretation of a neural net's internal state in terms of human-friendly concepts. CBI Counterfactual Bias Insertion ...
“golden criteria” (termed the “treasure” scaffold) or the learning process showed no further progress. The initially labeled dataset was composed of merely 95 data points (the simulation took ca. 7 days, hardware specified in the Methods section), since the predictive model based on this ...
This study has aims to determine the development of implementing machine learning in several engineering majors. The used method was a literature study, and secondary data was used from reputable international journals and published in 2015 to 2019 from each publisher, which is IEEEXplore, Springer ...
For these reasons, in this work we combine 3D-CAE and 3D-CNN to work synergistically together in order to build a hybrid deep representation learning framework model which exploits the advantages of both unsupervised and supervised representation/feature learning approaches, applied on 3D Image input...
A 'learning design' is defined as the description of the teaching-learning process that takes place in a unit of learning (eg, a course, a lesson or any ot... Koper,Rob - 《Journal of Educational Technology & Society》 被引量: 207发表: 2006年 Interactive Multimedia and Learning: Realizin...
As cutting-edge technologies, such as machine learning (ML), are increasingly involved in science assessments, it is essential to conceptualize how assessment practices are innovated by technologies. To partially meet this need, this article focuses on ML-based science assessments and elaborates on ...