AI vs 3D Printing Filament Market Analysis

In this series, Joris Peels is using AI, including an unreleased deep research tool, to look at the desktop #3Dprinting filament market. He then compares the results with our known data to see where AI research tools make sense, and where (and how) they make mistakes.

In this series, Joris Peels is using AI, including an unreleased deep research tool, to look at the desktop #3Dprinting filament market. He then compares the results with our known data to see where AI research tools make sense, and where (and how) they make mistakes.

Every major technology wave comes with big predictions about how it will change the world, and many of today's predictions center on AI. But what happens when AI meets manufacturing? It may have less to do with robots and more to do with an idea proposed by futurist and author Alvin Toffler in his 1980 book "The Third Wave." Vanesa M. Listek discusses the “prosumer,” a blend of producer and consumer.

Every major technology wave comes with big predictions about how it will change the world, and many of today's predictions center on AI. But what happens when AI meets manufacturing? It may have less to do with robots and more to do with an idea proposed by futurist and author Alvin Toffler in his 1980 book "The Third Wave." Vanesa M. Listek discusses the “prosumer,” a blend of producer and consumer.

Every major technology wave comes with big predictions about how it will change the world, and many of today's predictions center on AI. But what happens when AI meets manufacturing? It may have less to do with robots and more to do with an idea proposed by futurist and author Alvin Toffler in his 1980 book "The Third Wave." Vanesa M. Listek discusses the “prosumer,” a blend of producer and consumer.

The Book Industry Study Group has teamed with BookNet Canada to launch a second survey giving professionals in all parts of the book business a chance to share their experiences with AI. https://lnkd.in/gBJ4TGNm

📰 Top global business media outlets spotlighted Creality's AI-powered 3D creation ecosystem and global offline expansion. Featured by Forbes, International Business Times UK, and Entrepreneur Media APAC, the coverage explores how Creality is advancing AI-powered 3D creation through innovation, ecosystem development, and global offline expansion. Full insights are available through the article links 🔗 Forbes: https://lnkd.in/gk-2FNgQ 🔗 International Business Times: https://lnkd.in/g6veVWCK 🔗 Entrepreneur: https://lnkd.in/gTiteaZg #Creality #3DPrinting #AI

A while back, I posted about how I feel that AI is basically the newest tool in our fabrication belt, just like parametric CAD or 3D printing. I have also been looking at how it works upstream, way before we start designing anything. Coming up with creative new ideas isn't necessarily the hard part. The hard part is making sense of the noise, the mountain of consumer research, trends, trials, claims, and the messy data we get at the start of every project. For years, I've spent a massive amount of time manually wrangling that data into a clear vision that project teams can actually agree on. AI is completely changing this step. It isn't a magic idea generator; it is the ultimate synthesizer. It does the heavy lifting to organize all that raw, conflicting data into actionable parameters, but it still requires a skilled human at the helm. The prompts we use must be thoughtfully directed, deliberate, and well-crafted. AI can structure the noise, but we still have to define the intent. Just like advanced simulation reduced time and risk at the back end of development, AI is speeding up the front end. It is doing exactly what experienced designers have always done, finding the signal in the noise, just a lot faster. It lets us get from abstract research to tangible concepts and design directions in a fraction of the time. How are you using AI to bridge the gap between messy data and actionable blueprints? https://lnkd.in/gnv-zruP

Researchers at IMDEA Materials Institute have developed an AI algorithm that could improve automated manufacturing by recognising the unique operating characteristics of individual machines, even when they share the same make and model. #Manufacturing #ArtificialIntelligence #Automation https://lnkd.in/eT8PD7gw

AI was once viewed as a distant-future disruptor, but it’s now making its way into real-world deployments. Instead of completely revolutionizing the print production process, AI is facilitating incremental improvements. This Keypoint Intelligence article explores how savvy businesses are using the technology to refine their print production processes. https://lnkd.in/g7uD4Td6