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.

Follow us on Twitter to keep updated on AM & IIoT related news as well as updates to Authentise’s services!

The Trifecta of Manufacturing Agility: Software, Hardware and the IIOT (Authentise Weekly News-In-Review – Week 65)

The world of today’s economy requires businesses to keep a quick pace with the demands of the market. The globalization of products and services made it so that, to stay competitive, product iteration and deployment must be quick and effective. Fortunately, we have the technological foundation to enable this kind of model. A combination of hardware, software and analytical tools put businesses in the position to close the iterative circle of prototyping and manufacturing in a lean fashion. Manufacturing technologies like 3D printing and hybrid manufacturing platforms give the tools needed to experiment and ultimately produce finished goods for almost any circumstance. The digital world we have weaved enables CAD and software to travel and be shared, creating an ecosystem in which everyone is uplifted. Finally, the IIoT is empowering everyone through the might of data-driven insights, interconnecting information hotspots and putting processing power to work on spotting operational inefficiencies.

Engineers Create 4D Printer that Combines Four 3D Printing Techniques

Engineers Create 4D Printer that Combines Four 3D Printing Techniques

[3D printing] Still somewhat in its infancy, the last decade has witnessed a generous body of research that seeks to exploit its uses more than we could have ever imagined. One example comes from a team from the Georgia Institute of Technology, led by Professor H. Jerry Qi from the University’s George W. Woodruff School of Mechanical Engineering. Their aim was simple: 4D printing. Or put in a different way, to create a machine that combines multiple materials into one 3D printer.

Read the full article here and the paper here.

3D Life Launches 3D Anatomical Heart Library

Justin Ryan, Research Scientist at the Cardiac 3D Print Lab, Phoenix Children’s Hospital, holds a 3D printed heart model. Photo via Philips USA.

[3D Life] are meeting the demand for anatomical models by launching a 3D anatomical heart library, providing medical professionals with access to 3D printing. The USA’s National Institutes of Health offers a similar library covering a broader range of medical models freely available as .STL files, but without the printing services offered by 3D Life.

Leonardo Bilalis, Design Engineer, hopes that the library will promote “better knowledge of [how 3D printed] organs can be used for surgery preparation for complex problems”, “making operations shorter and more efficient.”

Read more about it here.

IIoT Analytics are Just Numbers, Unless You Solve a Business Problem

IIoT-Analytics-are-Just-Numbers-Unless-You-Solve-a-Business-Problem

There is lots of excitement about analytics and machine learning. It’s moving through its hype-cycle but still faces many challenges. Putting aside other challenges, solving real business issues is still a major shortcoming. If your reporting and analytics is counting “things” – just buy a calculator. Find a business problem to solve, and then you will see real value.

 

Read the full article here.

 

Follow us on Twitter to keep updated on AM & IIoT related news as well as updates to Authentise’s services!

The Scalability of IIoT Systems (Authentise Weekly News-In-Review – Week 56)

The IIoT is an acronym that’s being touted around industrial settings for years now. As it stands for Industrial Internet of Things, its goal is similar to what common household IoT devices try to achieve: smart control and monitoring of operations, at any scale and complexity. Approaching the subject can look daunting and many companies think the technical effort is out of reach without any practical benefit. That’s because we’re not making benefits clear enough to the operators. Our current deployments are expensive one-off customs and those that go beyond that are often simple dashboards or at best predicitive maintenance tools – both deliver none or very little ROI by themselves.

While we’re trying to build scalable process efficiency systems using IIOT data at Authentise the key steps to make IIoT really scalable are flexible platforms that can process all kinds of data for different outcomes and are very easy for untrained operators to program. The devices required to obtain, elaborate data and to generate insights are now very cheap and the market is sprouting solutions tailored to every occasion. Now the software interfaces needed to manage the system need to becoming friendlier, cheaper or even open source, enabling the full spectrum of applications to talk to each other frictionlessly. All of this makes for a framework that can scale from a single piping temperature sensor to the entire production pipeline. It’s been reported that 86% of industrial orgs are already adopting IIoT solutions, and it doesn’t pertain only to big corporations. Breweries can leverage data from their distilling operation just as much as Lockheed Martin does from its F-35 factory floor. While we only currently unlock 5% of available data, it’s easy to see the promise going forward.

Shipyard 4.0 Concept Features 3D Printing, Digital Twins, Advanced Technologies for Shipbuilding in Spain and Australia

In order to reduce business costs and increase productivity in line with Industry 4.0, Navantia has implemented the Shipyard 4.0 model, which will apply and optimize these technologies for applications in shipbuilding. The model has been implemented in Navantia Spain’s Ferrol shipyard in order to build next-generation F110 frigates for the Spanish Navy […] The Shipyard 4.0 model will enhance the outcomes of Navantia Australia’s SEA 5000 and Continuous Build Program by helping to develop a sustainable shipbuilding industry for the Navy, creating a new skilled workforce and modern facilities for both the shipyard and the supply chain, and setting up a modern ICT infrastructure that will support the digital twin (ship zero) of the shipyard, as well as for the ship.

Read more about Navantia Shipyard 4.0 here.

New study reveals rise of IIoT adoption in manufacturing

According to the 2017 study [by Bsquare], 86% of industrial organizations are currently adopting IoT solutions and 84% believe those solutions are very or extremely effective. In addition, 95% believe that IoT has a significant or tremendous impact on their industry. However, the study also shows that most IIoT investments are focused on connectivity (78%) and data visualization (83%). In addition, only 48% are doing advanced analytics on that data and only a small number (28%) are automating the application of insights derived from analytics.

Read more stats at Modern Materials Handling.

Breweries Tapping the IIoT to Produce Your Favorite Brew

By creating that virtual environment and installing IIoT sensors throughout the production and packaging environments, breweries that have adopted advanced analytics to process the collected data can help predict equipment lag or failure before they disrupt production. At the very least, the sensors can help to provide critical insights to identify the root of the problem to minimize downtime.

Read the full article here.

 

Follow us on Twitter to keep updated on AM & IIoT related news as well as updates to Authentise’s services!

The Many Faces of Automation in Today’s Industries (Authentise Weekly News-In-Review – Week 35)

Automation is bringing about transformation to today’s manufacturing in many shapes and forms. Giants like McDonald’s are having a revival in productivity (and profits) thanks to smarter food handling systems. Similarly, renewal projects of power plants across the US employ automation to slash the number of employees considerably. Flexibility and performance find a match in Fraunhofer Institute’s new SelfPaint system, which enables factories to automate painting of individual objects.

Automation key to McDonald’s revival

A McDonalds restaurant in France.

Fast food giant McDonald’s has seen a significant rise in second quarter profits. This is being put down to new ways of working and automation, leading to increased productivity. McDonald’s net income leapt by 28% to $1.4B in the second quarter, Business Times reports. This predicted increase in growth is attributed to a continuation of technology designed to aid manufacturing automation and with McDonald’s further application of digital technology to automate the customer experience.

Read the full story at Digital Journal.

SelfPaint tech automates painting of one-off objects

A SelfPaint-guided robot paints a chair, with its calculated

German and Swedish scientists from the Fraunhofer Institute are developing a system known as SelfPaint, which will allow robots to figure out how to paint individual objects. It could reportedly reduce paint use by 2%, energy consumption by 15%and production time by 5%. First of all, a 3D scan of the item is performed. Next, the path that the robot will travel while painting is mapped out. The painting process itself then takes place, followed by an inspection to check that the coating of paint is thick enough.

Read all about SelfPaint at NewAtlas.

Automation Is Engineering the Jobs Out of Power Plants

View of a Mitsubishi-made gas-fired turbine

Gone are many of the mechanics, millwrights, and welders who once held high paying jobs to keep coal-fired power plants operating. […] the extensive use of analytics and automation within natural gas-fired power plants means that staffing levels can be cut to a fraction of what they were a decade ago. On August 1, Michigan-based DTE Energy revealed plans to spend almost $1B to build a 1,100-MW gas-fired power plant. When the station enters service in 2022, it will replace 3 existing coal-fired units that currently employ more than 500 people. Job openings at the new gas-fired plant? 35 full-time employees, says a DTE spokesperson.

Check out the full analysis on IEEE Spectrum.

 

Our Twitter feed has a lot more news and insights on AM and IIoT, check it out! Don’t forget to come back next week for another edition of hand-picked brain candies for you to feast on.

Big Data to tackle Big Problems (Authentise Weekly News-In-Review – Week 06)

Hi and welcome to another edition of the News-In-Review, brought to you by Authentise!

The computational power at our disposal is increasing exponentially, being that of the phone in our pockets or the super-computer of the country next door. In our interconnected world, data is engulfing everything (as highlighted in our Week 3 edition). This week we propose how the two are coming together to address the great problems in our world, from national resource management to safer and more accurate than ever 3D printing. As IIoT is embedded in the national grid, it’s changing from a rigid, failure prone network to an efficient, system optimized in real time approach thanks to data-driven analytics. Processing that data requires new IT innovations, such as the first exascale super-computer now built in Chian. This, previously unattainable computational power allows us to simulate better 3D printing designs, materials and processes and can be used to unlock more AM use cases, such as construction.

As ever, there’s a lot to cover here. Let’s jump in!

Big Water – Big Data Is Reshaping The Water Industry

Data management, exploratory analytics, data visualization and predictive algorithms enable the discovery of important behavioral characteristics of highly‐complex urban infrastructure. Water management relies on heavy physical infrastructure and reactive administration. This changes with the development of cyber-physical systems, real-time monitoring, big data analysis and predictive machine learning algorithms and the IoT. These systems enable a transition from reacting to optimized, proactive and cost-efficient management processes.

Check out the full article here.

World’s First Exascale Supercomputer to Enhance 3D Printing Capabilities

The Tianhe-2 Super Computer

China’s National Supercomputer Centre announced that the prototype for its exascale supercomputer will be completed later this year, ahead of its initial date in 2018. The successful performance and commercialization of the computer is presumed to drastically improve existing 3D printing or additive manufacturing methods. […] Through the usage of an exascale computing-based application, manufacturers will be able to use additive manufacturing technologies to better simulate end products and significantly optimize processes before the last stage of manufacturing.

Read the full article here.

Building by numbers: how 3D printing is shaking up the construction industry

Stewart Williams [admits] that quality control represents a major challenge [to the building industry]. To be viable, any printed building technique will have systems that can constantly monitor and inspect the materials as they are being produced. As he notes wryly: “You wouldn’t want to build a massive beam and get to the end and find you’ve got some holes in it.” Assuming regulators can be convinced, the potential upsides of 3D printing for the construction industry could be huge. Among the factors in the technology’s favor are productivity gains, reduced labor costs and safer working environments, as well as the sort of one-off, complex building designs that are not technically and economically feasible at present.

Read the whole article at the Guardian.

 

As always, be sure to follow us on Twitter to get the rest of the juicy news we share and come back next week to another edition of the News-In-Review!

IIoT engulfs the world, is the world ready? (Authentise Weekly News-In-Review – Week 04)

Hi everyone and welcome to this new edition of your weekly News-In-Review by Authentise!

We are switching the release date to Sunday from now on so tune in every weekend to get your curated news report.

This week we filled our feeds with news coming from the IIoT world. More & more resources are poured by industrial players to get ahead in the race to ride the sensor-empowered wave of IIoT but there is more to do hiding in the avalanche of data that is coming out of it. While Frankfurt showcases industry 4.0 in its privileged spot as Europe’s main internet hub and key players’ collaborations take the IIoT ecosystem up a notch, the data shows early adopters can’t seem to create actionable insights out of it all. As IIoT engulfs the industrial world in data, smart process development driven by analytics is key to make use of the incredible information capacity in our hands.

Frankfurt factory showcases Industry 4.0

Screen Shot 2017-01-21 at 12.37.28 AM

Frankfurt is the world’s largest internet hub – and with volume doubling every year, companies are turning to the latest technology. That was the starting point for one German company – which has built a factory to show what’s possible.

Click here to see the article and video.

Honeywell and Aeron collaborate

Honeywell has announced that it will collaborate with Aereon on solutions to help industrial customers boost the safety, efficiency and reliability of their operations by leveraging Honeywell’s Industrial Internet of Things (IIoT) ecosystem. The INspire™ ecosystem is a part of Honeywell’s Connected Plant initiative, which helps manufacturers leverage the IIoT to improve the safety, efficiency and reliability of operations across a single plant or several plants within an enterprise. Honeywell and its ecosystem partners are developing infrastructure that offers customers secure methods to capture and aggregate data, and apply advanced analytics. Customers can then use this information to determine methods to reduce or eliminate manufacturing upsets and inefficiencies.

Click here to read more about the collaboration.

Making Sense of IIoT Analytics

Screen Shot 2017-01-21 at 12.48.05 AM

As the Industrial Internet of Things (IIoT) picks up steam, attention is pivoting from connectivity to analytics, flooding manufacturers with a wave of new offerings that all promise to facilitate real business change. […] “It’s really easy to capture data, but to then make that data actionable is where companies are really struggling,” notes Ryan Lester, director of IoT strategy for Xively, an IoT platform provider. “Companies don’t have the right analytics tools to parse through the data and they don’t have access to good algorithms to get insights.” In fact, according to research by Forrester and Xively, 51% of companies are collecting data from connected products, but only 33% are leveraging the intelligence to create actionable insights.

Click here to know more of IIoT analytics.

 

Don’t forget to follow us on Twitter, Facebook and G+!

Integrating the Future & the Present (Authentise Weekly 3D News Review – Week 51)

Hi all, welcome to another (festive!) edition of the weekly review by Authentise!

We hope you had a merry Christmas time! As we go back to our usual day-to-day, we gathered last week’s juiciest 3D news. Many companies are tackling the issues of integrating their work on new tech into present standards and workflows. Sounds like Organovo’s work on pre-clinical bioprinting is finally getting there, Oas are standards for AM enabled medical. Other times industrialization doesnt need to be so complicated: IIoT allows smaller, incremental steps to be taken to integrate new tech and practices to benefit businesses.

Let’s dig in.

Organovo 3D bioprinted liver tissue could make it to the FDA by 2019

Organovo demonstrate toxicity testing with ExVive liver product. Image via Organovo

Speculation on 3D printed tissue coming to humans sooner than we think is backed by new pre-clinical findings from 3D bioprinting company Organovo. Though it will still be 3–5 years before the U.S. based Organovo apply for clearance of their liver tissue, that is still sooner than perhaps even the FDA had in mind. Pre-clinical trial data shows that 3D bioprinted liver tissue has been successfully planted into lab-bred mice. The human liver-cell tissue shows regular functionality and, at this stage, is being explored as a suitable patch for the organ.

Read more at 3D Printing Industry.

3D Printing Production Medical Devices — Pitfalls And Best Practices

In May 2016, the FDA released a draft guidance titled Technical Considerations for Additive Manufactured Devices. Any manufacturer or organization considering 3D-printed components during the development of a medical device should refer to this document. The guidance goes into detail regarding risk and other considerations related to 3D printing, as well as how to employ 3D printing within device development.

Read the article here and the FDA guidance here.

Use Existing Data to Optimize IIoT Sensor Deployment

It is hard to know where to start [in IIoT], and whether the solution being designed will be palatable to the end customer in terms of function and price. Rather than ordering highly marketed solutions from outside the enterprise and “tipping” consultants with exorbitant fees, they can find ingredients that are already on hand, apply basic analytics, and come up with some surprisingly tasty ways to translate raw data into process information to improve maintenance or business decisions.

Read about the useful, and easy, ways IIoT can easily be integrated in your business here.

 

We hope to see you next week for another edition brought to you by Authentise!