Sideways innovation: unexpected avenues of discovery (Authentise Weekly News-In-Review – #109)

Innovation isn’t always a straightforward process. Sometimes to even begin to diagnose the problems we need a new perspective on the system as a whole, and that might mean researching curious tangents. Take flying taxis as an example: in our quest to one day see them whizzing over us, we never considered the systemic bottleneck of the manufacturing of high-tech materials like carbon fibers. Insights like this happen when we look beyond sheer innovation, thinking holistically of the topic at hand and not being blindsided by the shiny new technological grail. IIoT may one day benefit greatly from the blockchain, but is it ready for prime time in cybersecurity applications? Should we look at more traditional and effective approaches while we crack the infrastructure that will make it viable? Let’s look beyond the initial goal, let’s find interesting tangents to our research. Old materials can be reinvented with 3D printing, one of the many technologies that give us the tools to question everything.

Blockchain May Be Overkill For Most IIoT Security

Blockchain crops up in many of the pitches for security software aimed at the industrial IoT. However, IIoT project owners, chipmakers and OEMs should stick with security options that address the low-level, device- and data-centered security of the IIoT itself, rather than the effort to promote blockchain as a security option as well as an audit tool.

Read the full article at Semiengineering.

The Need For Carbon Fiber Could Ground The Flying-Car Future

Icon’s struggle to ramp up production of an airplane it initially promised for $139,000 can be blamed mostly on its heavy use of carbon fiber—a material that cuts weight and adds strength, but also adds complexity and cost to the manufacturing process.

Read more here.

Dichroic 3D-printing material changes color with point of view

A miniature goblet printed from the new material appears both opaque brown and translucent violet

In use since at least the 4th century AD, dichroic glass displays different colors depending on how it’s being viewed. Now, Dutch scientists have produced the effect in a material that can be used to create 3D-printed objects – and it’s not just a novelty, as it could have practical applications.

Read the full article here.

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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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