Building AI Agents, CFD with Milovan Peric & Flow360 and Tecplot 360 Webinar
🧠 The learned man knows that he is ignorant.
💻 Building AI Automations & AI Agents with n8n
Build with the precision of code or the speed of drag-n-drop. Host with on-prem control or in-the-cloud convenience. n8n gives you more freedom to implement multi-step AI agents and integrate apps than any other tool.
🎙️Accelerate Speed & Efficiency in High-Fidelity Automotive CFD
In this seminar, you’ll gain hands-on experience with Flow360 and Tecplot 360 with best practices from our experts. Additionally, we’ll share an innovative customer case study on how NIO sped up their aerodynamic design process, reduced simulation times, and achieved faster innovation using GPU-native solvers and advanced visualization tools to redefine aerodynamics in Electric Vehicles (EVs).
💻 Computer-Aided Design as Language - DeepMind Research
Computer-Aided Design (CAD) applications are used in manufacturing to model everything from coffee mugs to sports cars. These programs are complex and require years of training and experience to master. A component of all CAD models particularly difficult to make are the highly structured 2D sketches that lie at the heart of every 3D construction. In this work, DeepMind proposes a machine learning model capable of automatically generating such sketches.
🤓 A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More
A neural network pre-trained on text and finetuned on code solves Mathematics problems by program synthesis is presented in this paper. The authors turn questions into programming tasks, automatically generate programs, and then execute them, perfectly solving university-level problems from MIT’s large Mathematics courses, as well as questions from a MATH dataset (on Prealgebra, Algebra, Counting and Probability, Number Theory, and Precalculus), the latest benchmark of advanced mathematics problems specifically designed to assess mathematical reasoning.
🧠 PlotNeuralNet: Use LaTex for making neural networks diagrams!
Latex code for drawing neural networks for reports and presentation. Have a look into examples to see how they are made. Additionally, let’s consolidate any improvements that you make and fix any bugs to help more people with this code.
🎬 Video of the Week
💻 Engineering Tool of the Week – Wildkatze: CFD by advanced customization through user algorithms
Wildkatze is a general-purpose three-dimensional CFD software package with robust Finite Volume and Finite Difference solvers, preprocessing modules, and Multiphysics models for various industrial problems. Flexibility and advanced solver customization through user algorithms have been given paramount importance in the development of Wildkatze. Solver provides access to almost all the variables and internal settings through object-oriented C++ code, empowering the user to control and customize the solver for specific requirements. The flexibility to set up different physics models, utilizing different schemes, in other flow regions enhances the reproducibility of physical phenomena and the quality of analysis.
📚Book of the Week
The Finite Element Method: Linear Static and Dynamic Finite Element Analysis
This text is geared toward assisting engineering and physical science students in cultivating comprehensive skills in linear static and dynamic finite element methodology. Based on courses taught at Stanford University and the California Institute of Technology, it ranges from fundamental concepts to practical computer implementations. Additional sections touch upon the frontiers of research, making the book of potential interest to more experienced analysts and researchers working in the finite element field.
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Keep engineering your mind! 🧠
Jousef