Developments

In the ‘age of AI,’ what does it mean to be smart?

As artificial intelligence gets better at predicting human behavior, a business psychologist encourages people to strengthen the uniquely human skills that machine learning has yet to tap. Tomas Chamorro-Premuzic has written, I, Human: AI, Automation, and the Quest to Reclaim What Makes Us Unique (Harvard Business Review Press). He explains why some AI algorithms model humanity as a simple species, how attention has become commoditised, and why the right questions are now more valuable than the right answers. Why did you write this book, now? I’m a professor of business psychology at Columbia University and UCL [University College London] and the chief innovation officer at ManpowerGroup. I, Human: AI, Automation, and the Quest to Reclaim What Makes Us Unique is a book about the behavioural consequences or impact of artificial intelligence, including the dark side of human behaviour and what we should do to upgrade ourselves as a species. The book is written at a time that, in my view, could only be described as the AI age. Humans have always relied on technological inventiveness and innovation to shape their cultural and social evolution. Now, even the wider public is talking about things like ChatGPT and other conversational interfaces, and the tech giants are described mostly as data companies and as algorithmic prediction businesses. The book was very much written in the midst of the AI age, or under the influence of AI, because I wrote the bulk of this at the height of the pandemic when we had very little physical interaction or contact with other people outside of our nuclear families. This means I was heavily influenced by hyperconnectedness and the datafication of me. Everything I did was being datafied and subjected to the predictive powers of AI during 2020 and 2021. I can’t say that there won’t be a better era […]

Fighting data noise in industrial production – with fully configurable digital twin

Genius Core, provides industrial manufacturers and process-focused industries with a fully configurable digital twin of their facilities, giving complete, real-time visibility over maintenance needs, safety, and operational efficiency from anywhere in the world. Process Genius says Genius Core tackles the critical issue of digital noise in industrial processes, where hundreds of systems and sensors combine, making it extremely difficult to keep track of deviations in processes, maintenance, safety alerts, and malfunctions. The platform centralises all data from equipment in a 3D visualisation on both overview and facility levels, and all critical information can be accessed in real-time. Operators can also set up their digital twin without external help from external consultants. Data noise is one of the critical obstacles to industrial efficiency. A single facility produces thousands of data points to multiple systems from equipment every minute, which is often only accessible in one of the systems in use or Excel spreadsheets. As such, facility managers and process engineers waste significant amounts of time looking for the data they need or, in the worst case, overlook critical failures or maintenance needs because they are not made aware of critical information. When operating multiple facilities, this problem increases substantially. Genius Core removes these hurdles that cause decision-making delays. The modern industry operator doesn’t lack data. Industry 4.0 has seen a vast array of sensors and software that has made available any data imaginable from each piece of equipment in the facility. Their issue now is how to put this data to good use. With hundreds of systems and thousands of data points, the challenge is understanding the data and making the right decisions. With Genius Core, they can finally stop doing unnecessary and time-consuming detective work and focus on making those decisions. Industrial production largely depends on consistent facility uptime, and […]

Navigating technology trends

“Did you see the article about blockchain on the paper’s home page? I think we need blockchain, too.” “We should give all our IT to an offshore system integrator—that will save a lot of money. Our competitors are doing the same thing.” “We need to do something about generative AI right away!” Many who work in IT have heard variations of these statements from well-meaning senior colleagues. And given how much technology underpins so many trends, as well as the increasing pace of innovation, IT leaders can expect to hear more of them and feel pressure to act on them. Sometimes it makes a lot of sense to act quickly on a trend. Innovation, after all, is a hallmark of successful companies. But not all trends are created equal. The annals of many IT organisations are littered with bold initiatives in trends that created a lot of excitement but not much value. Moving quickly to chase a trend often bogs an organisation down, leads to wasted spend, and takes attention away from important priorities. For this reason, the ability to evaluate trends quickly and communicate their relevance to the business is becoming a critical capability for the modern CIO. In practice, it is rarely as simple as saying “yes” or “no” to investment in a particular trend. Trends are unpredictable, change with time, and their relevance to a given business often waxes or wanes. Instead, CIOs need a clear set of parameters to rely on both for evaluating trends and for determining which posture to take for engagement with them: first mover, fast follower, slow adopter, or sometimes non-partaker. Four guides for determining a trend’s relevance Disruptive business value: The trend can result in measurable value to the business. Independence: The trend allows the organisation to work in smaller, more independent units. Connectivity: The […]

AI set to supercharge robotic automation

Digital transformation is an ongoing process so we can expect to see breakthrough trends continuing to shape society. But how will these trends impact robotics and automation and what can the manufacturing industry expect to see in 2024? AI will set a new pace of development in robotics and automation AI is transforming the world of software development, making it cheaper, faster, and more effective. Software is a key component of automation, and with AI, software developers will be able to create more customised and optimised solutions for various tasks and challenges. If software development has sometimes felt like digging with a shovel, the introduction of AI is like bringing two horses and a plough to the process. However, automation expertise will remain a scarce and valuable resource in the process of AI revolutionsing manufacturing. It has been interesting and perhaps surprising to see AI changing the lives of office workers before it touches working practices in most factories. The benefits of machine learning will reach more manufacturers in 2024. After all, the technology is already there – we have many partners developing applications using AI to allow our robots to perform more complex and diverse functions. For example, AI allows robots to have human-like perception, handle variation, move parts precisely, adapt to changing environments, and learn from their own experience. With time, these capabilities will lead to unprecedented flexibility, quality and reliability in manufacturing. Developments in robotics software will enable more sharing and reuse Robotics software is the glue that binds users to their mechanical counterparts – a digital connectivity that transcends physical interaction. Software developments are enabling a new dimension of collaboration – connecting the people that use robots. 2024 will see software developments leading to new levels of sharing and reusability. Imagine a world […]

3D printed titanium structure shows supernatural strength

A 3D printed ‘metamaterial’ boasting levels of strength for weight not normally seen in nature or manufacturing could change how we make everything from medical implants to aircraft or rocket parts. RMIT University researchers created the new metamaterial – a term used to describe an artificial material with unique properties not observed in nature – from common titanium alloy. But it’s the material’s unique lattice structure design, recently revealed in the journal Advanced Materials, that makes it anything but common: tests show it’s 50% stronger than the next strongest alloy of similar density used in aerospace applications. Improving on nature’s own design Lattice structures made of hollow struts were originally inspired by nature: strong hollow-stemmed plants like the Victoria water lily or the hardy organ pipe coral (Tubipora musica) showed us the way in combining lightness and strength. However, as RMIT’s Distinguished Professor Ma Qian explains, decades of trying to replicate these hollow ‘cellular structures’ in metals has been frustrated by the common issues of manufacturability and load stress concentrating on the inside areas of the hollow struts, leading to premature failures. “Ideally, the stress in all complex cellular materials should be evenly spread,” Qian explained. “However, for most topologies, it is common for less than half of the material to mainly bear the compressive load, while the larger volume of material is structurally insignificant.” Metal 3D printing provides unprecedented innovative solutions to these issues. By pushing 3D printing design to its limits, the RMIT team optimized a new type of lattice structure to distribute the stress more evenly, enhancing its strength or structural efficiency. “We designed a hollow tubular lattice structure that has a thin band running inside it. These two elements together show strength and lightness never before seen together in nature,” said Qian. “By effectively merging two […]

Planting machines in “Machine-tending” — Operations in a collaborative Industry 5.0 world

-Shih Pin Tan, Asia Pacific, Universal Robots. Boasting a fleet of over 10,000 aircraft, taking a commercial flight in Asia might not be as novel as before. In generations prior, it was not as easy to manufacture these machines, with the average commercial jet airliner comprising of over 350,000 individual parts. In crafting these parts—whether metal or plastic, one process is essential: machine tending. A well-functioning manufacturing workflow relies on machinery consistently being loaded and unloaded with parts or materials. When done well, machine tending increases productivity and yields – driving down the cost of production over time. Without it, production would grind to a halt. As the sector looks forward into the future, advancements in manufacturing will rest on optimising this crucial task. The next industrial revolution Stemming from the early 2010s, Industry 4.0 saw manufacturers integrating new technologies into their production facilities and throughout their operations. Industry 5.0 builds on this, using R&D to transition to a more sustainable, human-centric and resilient industry. With that, collaborative automation has a vital role to play. Already integral to Industry 4.0, greater automation of machine tending – more specifically collaborative robotics – will help manufacturers transition to Industry 5.0. In fact, the European Commission sees Industry 5.0 as playing a vital role in providing solutions to challenges for society, including the preservation of resources and climate change. The future of manufacturing and the transition to Industry 5.0 rests on ensuring machine tending benefits from both human skill and automated consistency, something collaborative robots (cobots) are specifically designed for. The man-machine partnership Over decades, human machine operators have been slogging away at the repetitive and physically demanding task of machine tending. This poses a multitude of issues for both workers as well as manufacturers and must be addressed. For one, machine tending […]

Autodesk Workshop XR delivers immersive design review

Autodesk Workshop XR empowers teams to review their 3D models and data from Autodesk Construction Cloud to detect and adjust project issues early on, preventing costly rework or delays. Autodesk Workshop XR, is an immersive design review workspace connected to Autodesk Construction Cloud (ACC). Workshop XR provides more effective and efficient design reviews for the architecture, engineering, and construction (AEC) industry. This real-time, shared experience empowers teams to review 3D models and their data from anywhere, resulting in better decision making and more profitable and sustainable projects. Workshop XR and ACC are part of Autodesk’s Design and Make Platform which includes cloud-connected software solutions that unite teams, data and workflows across entire project lifecycles to deliver better, faster outcomes. With Workshop XR, AEC teams can review and collaborate on projects to track issues, catch errors, and enable better spatial understanding. With automatically connected data from ACC, no-prep model loading, and synced issue tracking, Workshop XR makes design reviews frictionless and efficient. With Workshop XR, AEC teams can walk through models at a one-to-one scale to gain a shared understanding of how project data will translate to the real world. This will benefit customers’ bottom line—and the planet—by driving better design decisions, reducing waste and rework costs, and cutting down on team travel. Autodesk Workshop XR will be available on Meta Quest 2, Meta Quest Pro, and Meta Quest 3 headsets. “Meta’s collaboration with Autodesk brings the collective vision for the future of work to life,” said Jamie Keane, director of product at Meta. “Meta Quest headsets and Meta Avatars offer a secure connection to Workshop XR that takes on a new dimension of collaboration and presence. This immersive experience transforms the way teams work by boosting creativity and expanding the possibilities of what can be achieved.” Stantec, a global […]

Siemens revolutionises engineering simulation

Siemens Digital Industries Software has set the benchmark for innovation in the field of engineering simulation with the launch of two groundbreaking solutions – HEEDS AI Simulation Predictor software and Simcenter Reduced Order Modeling software. These tools empower engineers to tackle the most complex challenges manufacturers face, delivering predictive performance with speed, precision, and efficiency. Siemens’ HEEDS AI Simulation Predictor unlocks new possibilities for manufacturers by empowering engineering teams to harness the potential of advanced AI-driven predictive modeling. As a new addition to the Siemens Xcelerator portfolio, it can revolutionise design space exploration. Key Advantages: Optimise products with precision: HEEDS AI Simulation Predictor harnesses state-of-the-art AI with built-in accuracy awareness helps organisations to fully leverage the digital twin to fine-tune and optimise their products with unprecedented precision. Faster, more innovative designs: By tapping into historical simulation studies and accumulated knowledge, engineering teams can swiftly craft high-performing, innovative designs, significantly reducing time-to-market. Addressing the AI drift challenge One of the most significant challenges in AI-powered simulation is AI drift, where models extrapolate inaccurately when faced with uncharted design spaces. To address this challenge, HEEDS AI Simulation Predictor introduces accuracy-aware AI. This new technology actively self-verifies predictions, aiding engineers to conduct simulations that are not only accurate but also reliable in the context of real-world industrial engineering applications. HEEDS AI Simulation Predictor significantly improves various components of the gas turbine, leading to highly optimised designs and accelerated design cycles. “Thermo-mechanical fatigue predictions have been effectively upgraded to process ~20,000 design members in only 24 hours, yielding a 20% improvement in component lifetime. This has allows to fully characterise the limits of existing design space which is required for high-efficiency turbine engines. The HEEDS AI Simulation Predictor technology has saved over 15,000 hours of computational time. Siemens also introduces Simcenter Reduced Order Modeling, […]

Renewable energy concept Earth Day or environment protection Han

Rockwell Automation releases 2023 Sustainability Report outlining progress and outcomes

Rockwell Automation has published its 2023 Sustainability Report detailing the company’s sustainability progress and outcomes, and how Rockwell is partnering across the manufacturing industry and communities worldwide to create sustainable impact and change. Headquartered in Milwaukee, Wisconsin, Rockwell provides industrial automation and digital transformation solutions to manufacturers in more than 100 countries. “We’ve been improving the efficiency of industrial processes for more than 120 years, which includes making the most of scarce resources,” said Rockwell Automation Chairman & CEO Blake Moret. “Today, our technology and expertise help manufacturers in diverse industries address the complex challenge of making high-quality products at scale while minimising negative impacts on the environment.” Smart manufacturing technologies play a critical role in driving Environmental, Social, and Governance (ESG) and sustainability success. Survey results from the company’s 8th annual State of Smart Manufacturing Report indicate the driving factor for manufacturers to pursue sustainability and ESG policies and programs is to improve efficiencies, confirming that sustainability is critical for operational improvement and profitability. Rockwell Automation Chairman and CEO, Blake Moret, says Rockwell is helping manufacturers in diverse industries with the complex challenge of making high quality products at scale, while minimising negative impacts on the environment. Rockwell’s 2023 progress on its ESG journey In addition to showcasing how Rockwell supports customers’ sustainability efforts with its innovative, sustainable products and solutions, the report also highlights the company’s ESG initiatives and programs that are making Rockwell more sustainable while at the same time fostering a culture that empowers employees to operate safely, sustainably, and responsibly. In 2020, Rockwell announced its goal to be carbon neutral by 2030 (Scope 1 and 2 emissions). The report discusses the company’s work toward this goal, and includes information about Rockwell’s Scope 3 emissions baseline, explaining that indirect emissions from its value chain represent 99% of its […]

How AI will transform manufacturing

-Robert Le Busque, Regional Vice-President, Asia Pacific, Verizon Business In Australia, the rapid development of artificial intelligence (AI) has coincided with the Government’s announcement of the $15 billion National Reconstruction Fund (NRF), $1 billion of which will be dedicated to reinvigorating, accelerating, and building up advanced manufacturing capabilities. As businesses have already started adopting AI for various use cases, the Government has also recently launched a public consultation to seek advice on how to mitigate any potential risks and ensure it is applied responsibly. One of these uses cases is advanced manufacturing, which is a broad term that encompasses technologies applied to any manufacturing facility, including application software and AI tools to augment and generate higher value manufacturing output. Advanced manufacturing is also likely to use AI to embed faster and safer means of production and better operations management for industrial processes. Generating speed, safety and enhanced production Part of removing human error to make manufacturing safer and faster means reducing reliance on human observation. As machinery drivers and operators are among the top three occupation groups with the highest rate of work-related injuries in Australia at 6.5 percent in the 2021-2022 financial year, this makes a use case for AI analytics in augmenting workplace health and safety. High precision tracking, for example, detects faults in machinery micro-components at a scale previously unachievable – this improves productivity, output, and profitability for manufacturing companies. AI analytics can match workers’ physical position in relation to how they interact with machines, particularly heavy industrial machinery, facilitating a more comprehensive understanding of safety in workplace operations and injury. AI software can also manage workflows more effectively by identifying and allocating tasks. This can be taken one step further, with large site and heavy industrial manufacturing operations using digital twins to optimise these workflows – […]

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