The Confluence of AI and AM (Authentise Weekly News-In-Review – Week 92)

We’ve witnessed how the digital age is transforming the manufacturing industry and nowhere it is more apparent than in the contributions that AI is giving to the field. Advanced computing capabilities are being coupled with full-spectrum sensors and autonomous “thinking”. These systems are being developed in AM for a variety of benefits. First, they can help with in-process fault detection, constantly monitoring the printer for defects where the human eye can’t see and even adjust it to fix the problem on the spot. Bringing a trustworthy AI system in the fray opens up possibilities for decentralized manufacturing, where human skill isn’t needed to produce good quality, reliable parts. Such manufacturing units can be located anywhere, operate autonomously and even cooperate with one another to reach a certain goal. Authentise is presently using AI technologies to drive process estimates, providing an accurate, reliable window into your operations.

 

US Navy and Lockheed Martin Are Building AI-Driven 3D Printing Robots

Lockheed Martin

A new generation of smart 3D printers is under development which will use artificial intelligence to oversee and optimize 3D printed parts. The US Navy’s Office of Naval Research (ONR), which is funding the ambitious project, has recently announced a two-year $5.8 million contract. There are four partners working on this project, led by Lockheed Martin’s Advanced Technology Centre. The collective aim is to be able to create robots that can make independent decisions on how to optimize the production of complicated 3D printed parts.

Read the rest here.

 

Mobile Robots Cooperate to 3D Print Large Structures

A team of robot arms on mobile bases can 3D print large structures quickly

Roboticists at Nanyang Technological University in Singapore have, for the first time (as far as they know), performed “the actual printing of a single-piece concrete structure by two mobile robots operating concurrently.” The big advantage of this system is that you can use it to build structures that are more or less arbitrary in size without having to change the system all that much, since the robots themselves can define their own build volume by moving around.

Read more at IEEE Spectrum.

 

Kansas State University Researchers Develop AI System For 3D Printing Process Monitoring

Researchers from Kansas State University’s Department of Industrial and Manufacturing Systems Engineering (IMSE) have developed a new quality monitoring system for the 3D printing process. With integrated supervised machine learning, a camera, and image processing software, the researchers created a production quality monitoring system for assessing 3D printed parts in real-time.

Read the full article here.

 

We’ll be at Formnext in Frankfurt from the 13th to 16th November. Come see us at booth #B30J.

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How AI is changing the face of manufacturing, and much more (Authentise Weekly News-In-Review – Week 85)

As AI is getting a foothold in pretty much every corner of the digital world, industries like manufacturing have a lot to gain by employing its perks. We at Authentise know very well the power of machine learning and the many other tools that enable our customers to get deeper, insightful looks into their production and save time in production. The next generation in Additive AI will likely be in-print monitoring platforms. The way these technologies are affecting every industry scared people into thinking that there’s going to be less room for human employees. Not only will there be value in the collaboration between humans and AIs, but new types of jobs will be created because of it. On a side note, it’s also interesting to see how 3D printing is enabling new computing paradigms to be researched, closing the loop beautifully.

Kansas State University Researchers Develop AI System For 3D Printing Process Monitoring

Researchers from Kansas State University’s Department of Industrial and Manufacturing Systems Engineering (IMSE) have developed a new quality monitoring system for the 3D printing process. With integrated supervised machine learning, a camera, and image processing software, the researchers created a production quality monitoring system for assessing 3D printed parts in real-time.

Read the full article here.

New Supply Chain Jobs Are Emerging as AI Takes Hold

Companies are cutting supply chain complexity and accelerating responsiveness using the tools of artificial intelligence. Through AI, machine learning, robotics, and advanced analytics, firms are augmenting knowledge-intensive areas such as supply chain planning, customer order management, and inventory tracking. What does that mean for the supply chain workforce? It does not mean human workers will become obsolete. In fact, a new book by Paul Daugherty and H. James Wilson debunks the widespread misconception that AI systems will replace humans in one industry after another. While AI will be deployed to manage certain tasks, including higher-level decision making, the technology’s true power is in augmenting human capabilities — and that holds true in the supply chain.

Read the rest at Harvard Business Review.

This AI Calculates at the Speed of Light

Researchers from UCLA on Thursday revealed a 3D-printed, optical neural network that allows computers to solve complex mathematical computations at the speed of light. […] researchers believe this computing technique could shift the power of machine learning algorithms, the math that underlies many of the artificial intelligence applications in use today, into an entirely new gear.

Read the full article at Discover Magazine.

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