1000 Kelvin’s Post

What are the tangible benefits that #AI can bring to #DigitalManufacturing? A primary goal for companies leveraging #AdditiveManufacturing (AM) is to anticipate potential issues and implement corrective measures. In manufacturing, time is critical, and traditional methods such as Finite Element Analysis (FEA) are often neither fast nor scalable enough to meet modern demands. This is where #AIcopilots become indispensable, offering unparalleled speed, resolution, and actionable insights.

Thanks to probabilistic compression, the knowledge engineers will gain with AI-based digital twins is unprecedented. • Predict part failures • Map surface roughness • Identify shrink lines • Detect thermal bottlenecks and distortions • Understand the design and critical features Most importantly, iterate and solve them in hours without printing! Stop spending on traditional FEA simulations. They are slow, imprecise due to the need for painful calibrations, require a PhD to interpret, are expensive, and don’t solve the problem. I challenge anyone to show they provide a real solution.

Our clients are consistently impressed by one standout feature: unmatched computational speed. 💥 #AMAIZE outperforms traditional methods, slashing the time it takes to overcome printing challenges. Forget the slow, painstaking process of trial and error. Compared to Finite Element Analysis (FEA), there's no contest. 🚀 With the power of AI and cloud computing, AMAIZE operates at a pace that's not just faster—it's transformative. ⏱️ Predict, correct, and generate new print files in minutes or hours, not days. This isn't just an incremental improvement; it's a quantum leap in efficiency. 📝 Skeptical about the numbers? We welcome the scrutiny. Dive into our study and see the evidence for yourself: https://lnkd.in/e9Bcfhbr #3DPrinting #Innovation #AI #CloudComputing #AMAIZE Omar Fergani, Dr. Katharina Eissing 1000 Kelvin

#Reflection: Moving your problem-solving from deterministic models to the probabilistic domain with AI dramatically shifts the scale of efficiency, not merely quadrupling speed (from CPU to GPU) but potentially increasing it 10^6 and more (from GPU to AI-physics). This leap forward allows us to address challenges previously beyond our reach such as the intelligent planning of complex manufacturing processes like additive, machining, casting, etc. #Takeaway: AI's threat isn't to individual jobs; it's to organizations that hesitate to implement it, thereby endangering their workforce. #P.S.: Feel free to challenge Abedin Gagani on the mathematics underlying his post.

⏳📈 Our customers tell us that they used to spend a lot of time and resources on non-recurring engineering (NRE), causing long lead time and high costs, which cannot be spread on different projects. 👷🏻♂️📐Until today, the only way to build best engineering practices on AM is through costly trial & error or complex FEA. ...but there is another way... ☁️ 💻 Cloud computing has unlocked the possibility to bring powefull #AI/ #ML platforms at your fingertips to solve the most complex engineering challenges. This is why our customers have chosen #AMAIZE to rapidly get the optimal set of process parameters and cur their NRE. 🌐👇🏻 If you want to learn more, check out this case study. https://lnkd.in/dNjzTMNB #AM #lpbf #additive #ai #copilot Omar Fergani Dr. Katharina Eissing Abedin Gagani

1000 Kelvin: ⏳📈 Our customers tell us that they used to spend a lot of time and resources on non-recurring engineering (NRE), causing long lead time and high costs, which cannot be spread on different projects. 👷🏻♂️📐Until today, the only way to build best engineering practices on AM is through costly trial & error or complex FEA. ...but there is another way... ☁️ 💻 Cloud computing has unlocked the possibility to bring powefull #AI/ #ML platforms at your fingertips to solve the most complex engineering challenges. This is why our customers have chosen #AMAIZE to rapidly get the optimal set of process parameters and cur their NRE. 🌐👇🏻 If you want to learn more, check out this case study. https://lnkd.in/dNjzTMNB #AM #lpbf #additive #ai #copilot via Omar Fergani + Abedin Gagani + Dr. Katharina Eissing • #3Dprinting • #AdditiveManufacturing

⏳📈 Our customers tell us that they used to spend a lot of time and resources on non-recurring engineering (NRE), influencing lead time and costs. 👷🏻♂️📐Until today, the only way to build best engineering practices on #MetalAM is through costly trial & error or complex FEA. ...but there is another way... ☁️ 💻 Cloud computing has unlocked the possibility to bring powefull #AI/ #ML platforms at your fingertips to solve the most complex engineering challenges. This is why our customers have chosen #AMAIZE to rapidly optimize their print jobs and cur NRE. 🌐👇🏻 If you want to learn more, check out this case study. https://lnkd.in/dNjzTMNB #AM #lpbf #additive #AI #copilot Omar Fergani Dr. Katharina Eissing Abedin Gagani

Artificial intelligence (#ai ) is a popular investment trend, but there are many ways to cash in on this generational shift. Whether it's a software application, cloud computing to collect data, GPUs to power these data centers, or the companies that make the microchips, investors have a wide range of choices. However, only one company is essentially a supplier for every company in the AI value chain: ASML #semiconductor #manufacturing https://lnkd.in/e59Nh3wn

🌟 Why is AI Developing So Fast? 🌟 AI is advancing at lightning speed due to several key factors: Big Data: The explosion of data provides vast amounts of information for AI systems to learn from. 📊 Computing Power: Advances in hardware, such as GPUs and cloud computing, accelerate AI training and deployment. 💻 Research Breakthroughs: Continuous innovations in AI algorithms and techniques drive rapid progress. 🧠 Investment: Significant funding and interest from both private and public sectors fuel development. 💰 AI is shaping the future faster than ever before! 🚀🤖 #AI #TechRevolution #FutureOfTech #Innovation #ArtificialIntelligence Why do you think AI is advancing so quickly? Share your thoughts below! 👇

Archetype AI just hit a major milestone with several technological breakthroughs in one case study. These innovations are setting new standards and opening exciting possibilities. Want to see how we're transforming the future of Newton and Physical AI? Check out our latest update!