Aibuild’s Post

Some software engineers sometimes forget they're engineers too. Understanding how components work and fit together, libraries and even the underlying infrastructure of technologies will help a lot in delivering the optimum software or processes. Simply trying to ensure things work is not all that there is, just like forcing two parts together for a machine, despite obvious restrictions isn't always the way to go (force has its place though). Now I was thinking of some product designers (fortunately I haven't met yet) before typing this post. As regards Product Design, your counterpart in the hardware/physical machinery space is Engineering Design. There's an engineering/development part to what you do, you'll be a better Designer if you have some software engineering knowledge. What you do isn't just art btw I think this AI generated image looks nice. #software #productdesign #overbrim #engineering

A closer look at #Finite #Integration #Technique in #CST #Studio #Suite Click here for more info: https://lnkd.in/gKMWw9zV AUTHOR: Varsha Babu, Application Engineer - Electromagnetics #3DEXPERIENCE #3DEXPERIENCEWorks #3DEXPERIENCEPlatform #Simulation #ABAQUS #DesignValidation #FEA #FiniteElementAnalysis #CFD #ComputationalFluidDynamics #SIMULIA #Mesh #Design #DesignTool #Offer #solidworks #solidworks2024 #cfd #fluiddynamics #simulation #flow #thermodynamics #electromagnetics

🔧 Essential Tools & Software for Biomedical Engineers 🧬 Hey everyone! I've put together a handy list of tools and software that every biomedical engineer should know about. Whether you're just starting out or looking to expand your toolkit, this list has something for you. 📊 Categories Covered: 3D CAD Design Programming Languages Computing Software Simulation Tools Image Processing Software Analysis Tools 🔗Check it out and let me know what you think! #BiomedicalEngineering #ToolsAndSoftware #Engineering #3D #AutoCAD #SolidWorks #Python #C #Arduino #R #MATLAB #Simulink #Simulation #ANSYS #ComsolMultiphysics #ImageJ #Fiji #CellProfiler #ImageProcessing #Analysis

The Future of Engineering: Model-Based Development (MBD) MBD is transforming the way we design, simulate, and test systems—before they even exist physically. It's a game-changer in industries like automotive, aerospace, and beyond. 🔑 Key Job Roles in MBD and skillset: Model-Based Development Engineer: Experts in Simulink, turning models into reality. Embedded Software Engineer: Bridging models with real-time embedded systems. Control Systems Engineer: Mastering algorithms to control complex systems. Systems Engineer: Defining and modeling robust system architectures. Simulation Engineer: Predicting the future with advanced simulations. Technical Consultant: Guiding companies through MBD transformations. Verification and Validation Engineer: Ensuring safety and compliance through rigorous testing. Research Scientist: Innovating the next generation of MBD tools. MBD Project Manager: Orchestrating the entire MBD process from start to finish. 💡 Skills You Need: Proficiency in MATLAB Simulink. Strong understanding of systems and control theory. Expertise in code generation and embedded systems. Analytical and problem-solving prowess. Stay ahead by mastering these skills and exploring the vast opportunities in MBD! #Engineering #ModelBasedDevelopment #MATLAB #Simulink #Innovation #DigitalTransformation

3D modelling in VDE. Qualification, designation, initial data. (practical case #1, block 2) https://lnkd.in/eMkfTt-Z The issue is devoted to the issue of designating the general concept of practical cases of «Сost engineering» training course, in particular: filling out the initial data standard form, requirements for the desired qualification of the listener, the notation system used, the methodology for forming a 3D model tree in value design engineering, as well as the sequence of parallel and synchronous development of structural, functional and 3D models, in the context of the stages of development of design documentation according to GOST 2.103-2013, corresponding to the same stages or milestones of the project implementation.

𝐋𝐋𝐌-𝐀𝐢𝐝𝐞𝐝 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐇𝐚𝐫𝐝𝐰𝐚𝐫𝐞 𝐃𝐞𝐬𝐢𝐠𝐧 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 The paper discusses how large language models (LLMs) can be integrated into the EDA workflow to simplify and automate various tasks, including: 𝐇𝐃𝐋 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧: LLMs can be used to automatically generate hardware description language (HDL) code from design specifications. 𝐂𝐨𝐝𝐞 𝐝𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠: LLMs can assist engineers in identifying and fixing syntax and functional errors in HDL code. 𝐃𝐞𝐬𝐢𝐠𝐧 𝐯𝐞𝐫𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: LLMs can generate test scenarios and testbenches to improve testing and verification of hardware designs. 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: LLMs can help automate the process of transitioning from RTL to GDSII layout. It also presents two case studies demonstrating the use of LLMs for C/C++ code repair in High-Level Synthesis (HLS) and automatic testbench generation for HDL designs. The research is significant because: 𝐈𝐧𝐜𝐫𝐞𝐚𝐬𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 𝐨𝐟 𝐡𝐚𝐫𝐝𝐰𝐚𝐫𝐞 𝐝𝐞𝐬𝐢𝐠𝐧: Modern chip design has become increasingly complex, requiring more effort from engineers in tasks like circuit design, verification, and physical implementation. Automating these workflows can greatly improve efficiency. 𝐍𝐞𝐞𝐝 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐄𝐃𝐀 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬: There is a growing need for more cost-effective and automated EDA tools to accelerate hardware development and reduce errors. 𝐏𝐫𝐨𝐦𝐢𝐬𝐢𝐧𝐠 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐨𝐟 𝐋𝐋𝐌𝐬: LLMs have shown remarkable advancements in areas like natural language understanding and generation, making them a promising technology to integrate into EDA. 𝐏𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐭𝐨 𝐬𝐢𝐦𝐩𝐥𝐢𝐟𝐲 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐄𝐃𝐀: By leveraging LLMs, the paper explores how the entire EDA workflow, from specification to physical implementation, could be simplified and automated, reducing human effort. 🙏 #research #llms #genai #product #automation

Analog behavioral modeling is an essential aspect of Analog and Mixed Signal designs. Verilog-A is the most commonly used language to achieve this. If you're looking to use Verilog-A for rapid prototyping, this blog post will give you a comprehensive overview of its usage. Additionally, it provides a list of resources to help you understand this language better. Check it out! #AnalogDesign #MixedSignal #VerilogA #RapidPrototyping

Watch this video to learn about the #Cadence #DocAssistant, our new cloud-based online help viewer available with Cadence products. This application helps our customers access the most relevant content from a wide variety of Cadence resources within a single in-tool help window. https://ow.ly/WEjy50TrsnE

🔍 Unveiling fxDFTNoScan in Fusion Compiler at the Synthesis Stage! 🔍 ### 🛠️ Optimizing Testability Without Scan Chains fxDFTNoScan focuses on optimizing design testability without the use of traditional scan chains by: - **Scanless DFT Implementation**: Implementing DFT structures that enhance testability without introducing scan chain overheads, thereby optimizing design area and complexity. - **Embedded Test Structures**: Integrating test structures directly into the design, ensuring efficient test pattern generation and fault coverage. ### ⚙️ Advanced DFT Automation Leveraging automation to streamline DFT complexities: - **Automatic DFT Insertion**: Automatically inserting DFT structures such as scan flip-flops and test points based on design requirements and testability goals. - **Timing-Aware Optimization**: Ensuring that DFT optimizations do not compromise timing closure, maintaining design performance and functionality. ### 🔍 Enhancing Test Coverage and Efficiency Ensuring comprehensive test coverage and efficient test execution: - **Improved Fault Detection**: Enhancing the detection of faults and defects during manufacturing test processes, improving overall product quality. - **Reduced Test Pattern Generation Time**: Streamlining test pattern generation and validation processes, accelerating time-to-market for digital designs. ### 🚀 Accelerating Design Closure Contributing to faster design closure and improved efficiency: - **Minimizing Design Iterations**: Reducing the number of design iterations required to achieve robust testability, optimizing design cycle time and resource utilization. - **Enhancing Design Predictability**: Providing predictable test behaviors and outcomes, facilitating smoother project execution and validation. ### 🌐 Facilitating Collaboration and Integration Enhancing collaboration across design and test teams: - **Seamless Integration**: Integrating seamlessly with Fusion Compiler and other EDA tools, ensuring cohesive design and test flow integration. - **Cross-Functional Team Collaboration**: Facilitating communication and collaboration among design, test, and verification teams, enhancing overall project coordination. ### 🌟 Driving Innovation in Digital Design By leveraging fxDFTNoScan in Fusion Compiler’s synthesis stage, designers can achieve: - **Optimized Testability**: Enhancing design reliability and manufacturability with efficient DFT strategies that improve test coverage and reduce test costs. - **Scalable Test Solutions**: Providing scalable DFT solutions that adapt to evolving design complexities and manufacturing. #digitaldesign #fxDFTNoScan #fusioncompiler #synthesis #semiconductor #EDA #VLSI #techInnovation #workwithuppula Thanks, Vishnu DM || Follow Vishnu Uppula for more learning in semi-conductor industry.

Watch this video to learn about the #Cadence #DocAssistant, our new cloud-based online help viewer available with Cadence products. This application helps our customers access the most relevant content from a wide variety of Cadence resources within a single in-tool help window. https://ow.ly/Nf8c50TmGgX