Benefits Of AI In Engineering Design Processes

Our deep dive into AI for circuit board design revealed a crucial insight: AI's true power lies in its ability to gather data and generate code, rather than in direct design tasks. This finding came from a study of AI vs an expert design from Texas Instruments for a microphone pre-amplifier. We found that: - AI excels at extracting information from complex documents like datasheets - It can generate high-level code for circuit design more effectively than low-level netlists - The combination of data gathering and code generation can significantly accelerate the design process However, AI still struggles with nuanced decision-making and original design synthesis. That's where human expertise remains irreplaceable. This realization is shaping how we develop our code-based design tool. We're focusing on creating a symbiotic relationship between AI and human engineers, where AI handles data extraction and initial code generation, while engineers focus on critical design decisions and refinement. The future of circuit board design isn't AI replacing engineers - it's AI empowering engineers to work more efficiently and creatively. Can AI revolutionize circuit board design? Our latest article pits GPT-4o, Claude 3 Opus, and Gemini 1.5 against real EE challenges - see the surprising results: https://hubs.la/Q02F3S1g0 #AI #ElectricalEngineering

I built an entire PCB from scratch in 35 minutes using AI. FLUX.AI COPILOT transformed my engineering workflow. Starting point: A student's basic block diagram End result: Complete schematic + 3D layout The AI asked intelligent questions: "Which USB serial IC - CH340G or FT232RL?" "Internal or external oscillator?" "Do you want an RC filter on your inputs?" Real engineering decisions while AI handled the grunt work. Technical breakdown: POWER SUPPLY • Generated optimal rail voltages • Added protection circuitry • Selected efficient regulators MICROCONTROLLER • Automated pin assignments • Optimized peripheral routing • Generated decoupling network COMMUNICATION • USB serial interface • I2C expansion ports • Debug headers placement SENSORS • Light-dependent resistors • Temperature monitoring • Motion detection The most powerful part for me were these: AI suggested improvements I wouldn't consider if I were a beginner or even intermediate, but are common for advanced design: • Better ground plane distribution • Reduced EMI through strategic routing • Thermal optimization via component placement This tool cuts my design time by 80%. Engineering evolves. Tools improve. We adapt or fall behind. I've documented the entire process in a free roadmap video. I'll share it with anyone who comments below. Serious about accelerating your PCB design workflow? Drop "Flux" in the comments. Like this post if you believe AI assistants will revolutionize hardware design - or at least make it A LOT easier, faster and more accurate.

The future of engineering is generative, intelligent, and deeply domain-aware. At #Siemens, we're building a new kind of Foundation Model—not just trained on internet-scale data, but grounded in the physics, geometry, and logic of the industrial world. While models like GPT-4 have reshaped content creation and conversation, our Foundation Model aims to transform how we design, simulate, and automate everything from jet engines to energy grids. Trained on rich engineering data—from CAD, CAE, DM and automation logic—this model doesn't just predict words. It understands parts, tolerances, constraints, workflows, and real-world behavior. This isn’t about replacing engineers. It’s about augmenting human creativity with AI that speaks the language of design, manufacturing, and systems. Integrated into NX, Teamcenter, Industrial Copilot, and Digital Manufacturing platforms, our Foundation Model will empower engineers to: - Generate complex geometry from intent - Predict performance without full simulation - Translate ideas into production-ready models—in minutes This is what domain-specific AI at industrial scale looks like. https://lnkd.in/gq47QH7S #IndustrialAI #SiemensXcelerator #IndustrialFoundationModel #GenerativeEngineering #AIinDesign