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An innovative 3D-printed exoskeleton that boosts strength and mobility, particularly for elderly and physically disabled individuals struggling with walking.
#News
@AddiTech
What's The next step? Integrating Al to create a smart exoskeleton that can understand the user's needs and adapt in real-time for personalized support.
Imagine an exoskeleton that learns from the user's movements and assists seamlessly!
This could redefine independent living and open doors to life-changing possibilities in healthcare and daily mobility.
#News
@AddiTech
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Forwarded from AddiTech (Alireza Ghiasvand)
Revolutionizing Industries with Metal 3D Printing
@AddiTech
Rocket Engine Development
A partnership led to the creation of an ethalox rocket engine with a maximum thrust of 630 lbf. Utilizing metal 3D printing, the team developed complex internal flow channels and optimized geometries, streamlining development and enhancing performance.
Semiconductor Manufacturing Enhancement
Collaborative efforts resulted in the design of a dual-wall cooling chuck featuring a TPMS-inspired structure. This innovation improves temperature uniformity, a critical factor in precision semiconductor manufacturing.
Innovations in Heat Exchanger Design
A new liquid heat exchanger was developed using a space-filling tree algorithm to maximize surface area. This design enhances cooling efficiency, demonstrating the potential of computational design in additive manufacturing.
Advancements in Turbine Blade Technology
In the aerospace sector, turbine blades were created with capillary cooling channels and gyroid structures.
@AddiTech
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🚀 International Call for Collaboration – Remote Project Opportunity
📍 Location: Switzerland 🇨🇭 (Zurich)
📍 Type: Remote
📍 Client: Metal AM Machine Manufacturer
📍 Project Scope: Design & Optimization
📍 Compensation: €6,800 - €8,000 per month
📍 Project Duration: April 2025 - July 2025
📌 Project Title:
Design (Phase 1) and Implementation (Phase 2) of an Intelligent Vision System for Closed-Loop Laser Scan Speed Control and Process Monitoring via Object Detection in Laser Metal Deposition Technology
📄 A detailed Project Charter (PDF) will be shared via email after the interview for selected candidates.
📌 Required Expertise:
✔ Mechanical Engineer
✔ Computer Engineer
✔ Control Engineer
✔ Electronics Engineer
🔹 Formal degrees are NOT mandatory, but relevant expertise is required.
🔹 Interview invitations will be sent to shortlisted applicants via email.
🔹 Minimum English proficiency level B1 (especially in Writing & Speaking) is required. A 5-minute spoken test will be conducted during the interview.
📌 Application Deadline:
🗓 15 March 2025 – Deadline for submitting resumes & interview coordination.
Best Regards,
🔺To Send your Cv:👇 @Ghiasvand_engineering
📍 Location: Switzerland 🇨🇭 (Zurich)
📍 Type: Remote
📍 Client: Metal AM Machine Manufacturer
📍 Project Scope: Design & Optimization
📍 Compensation: €6,800 - €8,000 per month
📍 Project Duration: April 2025 - July 2025
📌 Project Title:
Design (Phase 1) and Implementation (Phase 2) of an Intelligent Vision System for Closed-Loop Laser Scan Speed Control and Process Monitoring via Object Detection in Laser Metal Deposition Technology
📄 A detailed Project Charter (PDF) will be shared via email after the interview for selected candidates.
📌 Required Expertise:
✔ Mechanical Engineer
✔ Computer Engineer
✔ Control Engineer
✔ Electronics Engineer
🔹 Formal degrees are NOT mandatory, but relevant expertise is required.
🔹 Interview invitations will be sent to shortlisted applicants via email.
🔹 Minimum English proficiency level B1 (especially in Writing & Speaking) is required. A 5-minute spoken test will be conducted during the interview.
📌 Application Deadline:
🗓 15 March 2025 – Deadline for submitting resumes & interview coordination.
Best Regards,
🔺To Send your Cv:👇 @Ghiasvand_engineering
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Forwarded from AddiTech (Alireza Ghiasvand)
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OpenAI and Autodesk Unveil ChatGPT Integration in Fusion 360
#News
@AddiTech
In a groundbreaking collaboration, OpenAI and Autodesk have introduced an advanced ChatGPT integration within Autodesk's Fusion 360 platform.
1. Text-to-3D Model Generation: Designers can now input detailed textual denoscriptions to generate precise 3D models. This feature leverages OpenAI's GPT-4 Turbo and DALL-E models, enabling rapid visualization of concepts without manual modeling.
2. Automated Sketch Constraints: The integration introduces AI-driven tools like AutoConstrain, which automatically suggest and apply sketch constraints such as symmetry and tangency. This ensures design accuracy and reduces the time spent on manual adjustments.
3. Automated Technical Drawings: The AI-powered Automated Drawings feature streamlines the creation of 2D documentation from 3D models, reducing manual effort and potential errors. This ensures consistency and accelerates the design-to-production workflow.
#News
@AddiTech
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Forwarded from AddiTech (Alireza Ghiasvand)
Which AI Model Has the Best Reasoning Skills? 🤖
🧩 The Challenge:
We tested five top-tier Large Language Models (LLMs) with a mind-bending logical puzzle—a 3-digit code mystery hidden within five ambiguous and contradictory clues! 💡
🔥 LLMs in the Battle:
🟢 GPT-4.0
🟣 GPT-4.03
🔴 Claude 3.7 Sonnet
🔵 Grok 3
🟡 DeepSeek R1
@AddiTech
🧩 The Challenge:
We tested five top-tier Large Language Models (LLMs) with a mind-bending logical puzzle—a 3-digit code mystery hidden within five ambiguous and contradictory clues! 💡
🔥 LLMs in the Battle:
🟢 GPT-4.0
🟣 GPT-4.03
🔴 Claude 3.7 Sonnet
🔵 Grok 3
🟡 DeepSeek R1
📌 Results:
✅ GPT-4.03
Final Answer: ✅ Correct! (832) 🎯
Reasoning Power: 🌟 Exceptional (identified contradictions & resolved them!)
Processing Speed: ⚡️ Moderate (42 sec)
❌ GPT-4.0
Final Answer: ❌ Incorrect (382)
Reasoning Power: 🔥 Decent but flawed
Processing Speed: ⚡️ Moderate (35 sec)
❌ Claude 3.7 Sonnet
Final Answer: ❌ Incorrect (378)
Reasoning Power: 🚀 Fast but lacked depth
Processing Speed: ⚡️ Super Fast (28 sec)
❌ Grok 3
Final Answer: ❌ Incorrect (584)
Reasoning Power: 🚀 Quick but superficial
Processing Speed: ⚡️ Lightning Fast (23 sec)
❌ DeepSeek R1
Final Answer: ❌ Completely Wrong (5482 & 582)
Reasoning Power: 🐌 Struggled with logic
Processing Speed: ⚡️ Moderate (40 sec)
@AddiTech
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Forwarded from AddiTech (Alireza Ghiasvand)
Alireza Ghiasvand
Photo
Scientific Analysis & Insights:
💬 What do you think? Which model do you prefer, and why? 🤔🚀
✍️Author:
@Ghiasvand_Engineering
@AddiTech
Only GPT-4.03 successfully used Chain-of-Thought reasoning to detect and resolve contradictions. 🔥
Claude 3.7 & Grok 3 had high-speed processing but lacked deep analytical skills. 🏃♂️
DeepSeek R1 had the worst performance due to major flaws in logical processing & maintaining information coherency. 🚨
🔬 How AI Models Process Logical Problems:
✅ Text Understanding (NLU & Encoder)
✅ Working Memory Retention
✅ Step-by-Step Deduction (Chain-of-Thought Processing)
✅ Contradiction Resolution (Logical Inference & Conflict Handling)
🚀 Final Verdict:
🥇 GPT-4.03 is the clear winner! This model dominated logical reasoning, accurately solved the puzzle, and even pointed out an inconsistency in the clues! 👏💡
📌 Pro Tip: If you need a model for high-stakes logical analysis and problem-solving, GPT-4.03 is the best pick! 🔥
✨ What’s Next?
The future of LLMs depends on enhancing deep logical reasoning & improving the balance between speed and accuracy! 🌐🤖
💬 What do you think? Which model do you prefer, and why? 🤔🚀
✍️Author:
@Ghiasvand_Engineering
@AddiTech
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🔹 What is Generative Design?
Generative design is an AI-driven engineering approach that automatically generates multiple optimized design alternatives based on user-defined inputs like materials, constraints, and performance goals. It mimics nature’s evolution process to find the best possible design.
🔹 How Can It Solve Our Challenges?
✅ Reduces Weight & Material Waste → Optimized structures with less material but higher strength
✅ Speeds Up Product Development → AI explores thousands of designs in hours, not weeks
✅ Cost-Effective Manufacturing → Creates ready-to-produce designs for 3D printing, CNC, and more
✅ Enhances Product Performance → Finds the strongest, lightest, and most efficient designs
🔹 Why is Generative Design the Future?
By automating complex design processes, companies can innovate faster, reduce costs, and create breakthrough products that were previously impossible to design manually.
@AddiTech
Generative design is an AI-driven engineering approach that automatically generates multiple optimized design alternatives based on user-defined inputs like materials, constraints, and performance goals. It mimics nature’s evolution process to find the best possible design.
🔹 How Can It Solve Our Challenges?
✅ Reduces Weight & Material Waste → Optimized structures with less material but higher strength
✅ Speeds Up Product Development → AI explores thousands of designs in hours, not weeks
✅ Cost-Effective Manufacturing → Creates ready-to-produce designs for 3D printing, CNC, and more
✅ Enhances Product Performance → Finds the strongest, lightest, and most efficient designs
🔹 Why is Generative Design the Future?
By automating complex design processes, companies can innovate faster, reduce costs, and create breakthrough products that were previously impossible to design manually.
@AddiTech
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𝗔𝗩𝗢𝗜𝗗 𝟯𝗗 𝗣𝗥𝗜𝗡𝗧𝗜𝗡𝗚 𝗘𝗥𝗥𝗢𝗥𝗦 𝗪𝗜𝗧𝗛 𝗦𝗜𝗠𝗨𝗟𝗔𝗧𝗜𝗢𝗡 🖥
At Danish Technological Institute, experts use simulations to optimize additive manufacturing and achieve 'first-time-right' results 📈
Using Simufact software, AM design specialist Andreas Weje Larsen predicts errors like deformation, cracks, shrink lines, and recoater contacts in titanium (Ti6Al4V). Aluminium (AlSi10Mg) is next ⚙️
Below is a test build for AMSIS GmbH, where shrink lines were predicted and later confirmed in the printed part 😊
The goal: Predict and fix errors before printing 👍
@AddiTech
At Danish Technological Institute, experts use simulations to optimize additive manufacturing and achieve 'first-time-right' results 📈
Using Simufact software, AM design specialist Andreas Weje Larsen predicts errors like deformation, cracks, shrink lines, and recoater contacts in titanium (Ti6Al4V). Aluminium (AlSi10Mg) is next ⚙️
Below is a test build for AMSIS GmbH, where shrink lines were predicted and later confirmed in the printed part 😊
The goal: Predict and fix errors before printing 👍
@AddiTech
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Forwarded from AddiTech (Alireza Ghiasvand)
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⚡️ Ansys Fluent Meets #SimAI: Revolutionizing Simulation ⚡️
🚀 What makes SimAI powerful?
1) Lightning-fast predictions: Evaluate performance in under a minute — design cycles reduced by 10-100X.
2) Massive design exploration: Quickly test and compare countless design iterations.
3) No-code AI experience: Designed for engineers and designers — no deep learning expertise needed.
One impressive example: SimAI's drag prediction on a new SUV geometry takes less than 1 minute, with an error of less than 0.5% compared to CFD, while maintaining accurate skin friction and wake topology predictions.
🔁 Left: Traditional Fluent CFD | Right: AI Prediction from #SimAI
Our LinkedIn Page
@AddiTech
Ansys SimAI, a cloud-enabled generative AI platform, is transforming the engineering landscape by delivering ultra-fast and accurate performance predictions across physics domains like fluid dynamics.
🚀 What makes SimAI powerful?
1) Lightning-fast predictions: Evaluate performance in under a minute — design cycles reduced by 10-100X.
2) Massive design exploration: Quickly test and compare countless design iterations.
3) No-code AI experience: Designed for engineers and designers — no deep learning expertise needed.
One impressive example: SimAI's drag prediction on a new SUV geometry takes less than 1 minute, with an error of less than 0.5% compared to CFD, while maintaining accurate skin friction and wake topology predictions.
🔁 Left: Traditional Fluent CFD | Right: AI Prediction from #SimAI
Our LinkedIn Page
@AddiTech
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🧠 AI-Powered Crash Predictions by NAVASTO | Powered by Autodesk 🕓
Crash simulations that once took hours can now be performed in seconds thanks to the AI technology developed by NAVASTO, a company backed by Autodesk.
Originally built for sensitivity analysis, this AI model now enables real-time crash predictions. A striking example: a Toyota vehicle crashing into a wall, fully simulated with AI, showing accurate deformation and impact behavior all happening in real time.
This is a major step forward in engineering workflows, making simulation faster, smarter, and more accessible.
Our LinkedIn Page
@AddiTech
Crash simulations that once took hours can now be performed in seconds thanks to the AI technology developed by NAVASTO, a company backed by Autodesk.
Originally built for sensitivity analysis, this AI model now enables real-time crash predictions. A striking example: a Toyota vehicle crashing into a wall, fully simulated with AI, showing accurate deformation and impact behavior all happening in real time.
Why it matters:
• From hours to seconds: real-time crash analysis
• Fast evaluation of multiple design options
• Supports early decision-making
• Reduces physical testing needs
This is a major step forward in engineering workflows, making simulation faster, smarter, and more accessible.
Our LinkedIn Page
@AddiTech
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