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SK Telecom (NYSE:SKM, “SKT”), Iceotope Technologies, the global leader in Precision Liquid Cooling, and SK Enmove, Korea’s leading base oil and lubricants provider developing thermal fluids for data center, signed a memorandum of understanding (MOU) to collaborate on the development of liquid cooling technique/solution that optimizes energy-efficiency of AI data centers. Since air conditioning and cooling systems consume the largest amount of energy in data centers, the key to realizing an energy-efficient AI data center lies in reducing the power consumption of these systems. Under the MOU, SKT, Iceotope and SK Enmove will collaborate to deploy Precision Liquid Cooling (PLC)* using SK Enmove’s thermal fluid at SKT’s AI Data Center Testbed. The deployment is to demonstrate PLC’s value in cooling efficiency and power savings. Moreover, SKT will develop an integrated Coolant Distribution Unit (CDU) to support various liquid cooling systems with the technical support of Iceotope. *Iceotope’s Precision Liquid Cooling (PLC) technology uses a precise delivery of ​​dielectric fluid to remove heat from the hottest components of the server, thereby significantly reducing energy consumption. Going forward, SKT plans to develop an AI-based autonomous cooling system. The AI Autonomous Cooling System will analyze the temperature and power load in the AI data center and automatically control the supply temperature and flow rate of thermal fluids in the CDUs to increase the operational efficiency of the AI data center. “By combining core technologies and capabilities of SKT, Iceotope and SK Enmove, we expect to develop innovative energy efficiency solutions that can not only help us strengthen our competitiveness in AI data centers, but also put us on the right path towards sustainability,” said Lee Jong-min, Vice President and Head of Future R&D at SKT. “We are thrilled to be collaborating with SKT and SK Enmove on AI data center innovation and look forward to helping them and their customers to realize energy-efficiency in their facilities with our Precision Liquid Cooling solutions,” said David Craig, CEO of Iceotope. “Importance of establishing a sustainable environment is increasing these days. Through this cooperation, we aim to contribute to the vitalization of the immersion cooling market and solidify our position as an 'Energy Saving Company,” said Seo Sang-hyuk, Vice President and Head of e-Fluids B2B Business Office at SK Enmove.

The Malaysia’s International Trade Fair for Manufacturing & Trade Solutions is set to redefine the landscape of industry events as it brings together four major specialized trade fairs under one roof. From 9th to 12th October 2024, the Metal Engineering Expo, Pack Expo, Smart Factory, and MALT will converge at the Malaysia International Trade & Exhibition Centre (MITEC) in Kuala Lumpur for an unparalleled experience. Metal Engineering Expo (MTE): An Ode to Precision and Innovation The Metal Engineering Expo is a dynamic showcase where cutting-edge technology meets the precision of craftsmanship. Attendees will explore the intricate world of metalworking, from state-of-the-art CNC machines to the latest advancements in tooling. It's not just an exhibition; it's a celebration of the art and science behind crafting the future. Pack Expo: Where Innovation Takes Center Stage Pack Expo unleashes innovation as the ultimate hub for cutting-edge packaging and processing solutions. Industry leaders will explore breakthrough technologies and revolutionize their businesses with sustainable packaging solutions and state-of-the-art machinery. Smart Factory: Embodying the Transformation In an era shaped by technological strides, the Smart Factory trade fair embodies the imperative of shedding outdated models and embracing change. Offering a comprehensive spectrum of smart and digital automation solutions, it serves as a showcase for the latest technologies propelling the digitalization of manufacturing. MALT: Unveiling the Future of Logistics MALT – Malaysia’s International Trade Fair on Intralogistics and Supply Chain Management – is set to unveil the latest trends in supply chain management and intralogistics. With groundbreaking solutions across Material Handling, Automation, and Logistics & Transport Systems, MALT 2024 is a can't-miss event for manufacturers, dealers, and service providers. This groundbreaking event embodies the evolution of the manufacturing and trade sectors, offering participants a unique opportunity to access a wealth of knowledge, foster new business ideas, and forge connections that propel the industry to new heights. Industry 5.0 is reshaping traditional industrial sectors by seamlessly integrating technologies such as AI, IoT, and robotics, fostering collaboration and innovation. As boundaries between manufacturing, logistics, and services dissolve, a dynamic ecosystem emerges, where efficiency and customization flourish. This ongoing convergence demands businesses to evolve to stay competitive, and the Malaysia’s International Trade Fair for Manufacturing & Trade Solutions is at the forefront of facilitating this transformation. The benefits of co-location are manifold, providing expanded audience reach, targeted exposure, cross-industry networking opportunities, increased visibility, higher footfall, and ease of visit. By bringing together diverse sectors under one roof, the event creates synergies and facilitates collaboration that drive innovation and growth. In addition to the unparalleled networking opportunities, the event organizers have curated a comprehensive program of activities, including Tech Talks, Business Clinics, an Industrial Career Fair, VIP Programmes, and Group Visits, ensuring that participants derive maximum value from their attendance. Join us at the Malaysia’s International Trade Fair for Manufacturing & Trade Solutions and be a part of the transformative experience that is shaping the future of industry. For more information and to register, visit www.mtexpo.com.my

Smart factories are revolutionizing manufacturing with interconnected, data-centric technologies. In the Industry 4.0 age, incorporating Internet of Things (IoT) sensors in production methods is changing factory operations. Emphasis is now on transitioning maintenance from reactive to predictive, facilitated by sophisticated sensing. Differential pressure sensors, as a central sensing tool, will increasingly contribute to collecting diagnostic data to enhance assets, reduce downtime, and devise more intelligent maintenance plans. From monitoring air quality in HVAC systems to safeguarding equipment against failure in chemical plants, pressure sensors are becoming essential components for predictive maintenance. Predictive maintenance involves the continuous monitoring of equipment to detect issues before a breakdown occurs. This approach is a considerable advancement from traditional reactive approaches that wait for failures to occur before fixing them. By identifying problems early on, significant time and expenses can be saved, and pressure sensors are perfect for monitoring due to their ability to diagnose issues across pumps, valves, pipes, filters, and beyond. This article presents an overview of how differential pressure sensors are employed in Industry 4.0 for predictive maintenance. HVAC Systems Ensuring ideal indoor air quality in contemporary factories is vital for both employee health and efficient production. Differential pressure sensors in Heating, Ventilation, and Air Conditioning (HVAC) systems oversee air quality, especially in specialized settings like cleanrooms. These sensors gauge the pressure disparity between two locations, allowing the system to identify any blockages in air filters. If the pressure difference exceeds a set limit, an alert is issued, signaling a need for filter servicing or replacement. This preventive strategy not only fosters a healthier workspace but also averts expensive HVAC system failures. Pneumatic Systems Many manufacturing processes are reliant on pneumatic systems to power a range of tools and machines. These systems have integrated pressure sensors to monitor air pressure levels. In an Industry 4.0 environment, these sensors deliver real-time data regarding anomalies and fluctuations in pressure. Predictive maintenance algorithms are used to analyze this data to recognize trends or patterns that may signal imminent equipment failure. For instance, a sudden decline in air pressure could indicate a leak in the system. Early detection enables maintenance teams to address these issues before they result in production downtime or expensive repairs. Hydraulic Machinery Hydraulic systems are often employed in manufacturing, particularly in heavy industries such as mining and construction. The pressure in hydraulic systems can be monitored by differential pressure sensors to ensure that the system is operating within efficient and safe parameters. Industry 4.0 technologies allow these pressure levels to be continuously monitored, and predictive maintenance software can be used to analyze the data to predict when components, such as valves or pumps, are likely to fail. Proactively addressing these issues enables factories to reduce unplanned downtime and extend the lifespan of expensive hydraulic equipment. Chemical Processing Safety and precision are of utmost importance in chemical plants, and differential pressure sensors can be employed to monitor pressure differentials across pipelines, filters, and reactors. They serve a crucial function in the detection of leaks, blockages, or changes in pressure that could suggest a malfunction. Anomalies in pressure data can initiate automatic shutdowns, while maintenance teams receive alerts in real-time. This prevents devastating accidents and improves the overall efficiency of chemical processes. Compressed Air Systems Compressed air systems are the pillar of many industrial operations, such as powering tools and operating conveyors. Differential pressure sensors are employed to monitor the condition of air filters as well as the overall integrity of the system. Predictive maintenance software facilitates the processing of data from these sensors to identify when air leaks occur, when filters require replacing, or when the compressor may be operating less efficiently. Factories can improve the reliability of their compressed air systems and reduce energy costs by correcting these issues before they escalate. Steam Boilers Steam boilers are frequently employed in manufacturing processes for generating power and heat. Pressure sensors are essential to monitor and maintain the safe and efficient operation of such systems. In an Industry 4.0 setting, pressure sensors are integrated with IoT abilities, facilitating the transmission of data to central control systems. Predictive maintenance algorithms are employed to analyze this data and predict when maintenance is necessary. For instance, when a pressure sensor detects a gradual rise in pressure, it can imply scaling or buildup inside the boiler. Timely maintenance can extend the lifespan of the boiler and avoid costly shutdowns. Water Treatment Pressure sensors are vital for monitoring water treatment systems in industries where water is crucial, such as power generation or food and beverage manufacturing. Differential pressure sensors can be used to measure the pressure difference across membranes and filters. Any shift in pressure may signal filter clogs or membrane damage. Therefore, the continuous collection and analysis of pressure data enables predictive maintenance systems to provide real-time alerts to issues, delivering consistent water quality and system reliability. Injection Molding Pressure sensors are commonly utilized in injection molding machines for the maintenance of precise control over the injection and clamping processes. In an Industry 4.0 setting, these sensors are integrated into the molding equipment and linked to central monitoring systems. Predictive maintenance algorithms are used for the analysis of pressure data to predict wear and tear on components such as cylinders, nozzles, and seals. This facilitates proactive maintenance scheduling, which minimizes unplanned downtime and enhances the quality of molded products. Conclusion In the Industry 4.0 era, the integration of pressure sensors into manufacturing processes is transforming how factories approach maintenance. Facilities that adopt real-time data collection and analysis are more likely to minimize downtime, prevent costly breakdowns, and ensure production lines run safely, smoothly, and with maximum efficiency. Prognostic pressure-based monitoring extends the lifetime of capital assets, optimizes operational efficiency, and eradicates catastrophic failures via early diagnosis. As advancements in smart infrastructure and Industry 4.0 continue to be made, differential pressure sensors will expand as a vital technology for steering the predictive maintenance capabilities that define modern, resilient manufacturing. Source: www.azosensors.com

FILMTECH JAPAN, the world's leading trade show for advanced film and equipment, is set to make its mark once again at the INTEX Osaka from May 8th to May 10th, 2024, offering a unique platform for businesses to connect, explore the latest advancements, and source solutions for their next projects. FILMTECH JAPAN handles all products, technologies, and services related to films, but the focus of this current session is on coatings. The future of the thin film coating market in Japan is brimming with potential across various sectors, including consumer electronics, tools & equipment, automotive, aerospace & defense, energy, and the medical industry. This growth is primarily driven by the surging demand for thin film coatings in consumer electronics, particularly high-resolution displays. Thin film coatings are prized for their superior functional properties and performance benefits, making them a game-changer across various industries. One of the most exciting emerging trends impacting the thin film coatings industry is the use of these coatings in the development of flexible displays. Indium tin oxide (ITO), with its unique combination of electrical conductivity and optical transparency, is the dominant material for transparent conductive coatings in high-resolution displays. Japan: A Gateway for the Global Advanced Film Industry Japan's position as a global leader in innovation and technology makes it a prime gateway for the film coatings industry. FILMTECH JAPAN Osaka capitalizes on this advantage, attracting over 25,000 visitors and featuring more than 330 exhibitors (expected figures for Highly-functional Material Week Osaka) from the functional film industry – film manufacturers, retailers, wholesalers, and more – to network, exchange ideas, and showcase solutions. FILMTECH JAPAN Osaka is a one-stop shop for everything related to advanced film technology. From industrial and decorative films to the latest molding and inspection machinery, the show offers a comprehensive overview of the global marketplace for cutting-edge film and equipment. "FILMTECH JAPAN Osaka stands out as a truly unique event," says Hongying Zhu, RX Japan Int'l Marketing Specialist at FILMTECH JAPAN. "It's the ideal platform for businesses of all sizes to showcase their innovations, discover new partnerships, and gain valuable insights into the ever-evolving world of film coatings." Highly-Functional Material Week: A Multifaceted Event FILMTECH JAPAN Osaka is part of the highly anticipated Highly-Functional Material Week, a comprehensive industry event encompassing seven specialized fairs organized by RX Japan. In addition to FILMTECH JAPAN, attendees will have access to exhibitions focused on plastics, metals, ceramics, adhesives, paints & coatings, and sustainable materials & technologies. Organized by RX Japan Ltd., pre-registration at Highly-Functional Material Week is mandatory for participation. Visitors are encouraged to register at the official website, https://www.material-expo.jp/osaka/en-gb.html, to explore the latest technologies, engage with experts directly, and seize the opportunity to find suppliers that can enhance the performance of your products or technologies.

Since ChatGPT was launched in 2022, the generative artificial intelligence (AI) chatbot has taken the world by storm and the topic of AI has found its way into everyday workplace conversation. From chats at water coolers to discussions in boardrooms, the question on everyone’s lips seems to be: “Will robots take my job?” A report in March 2023 by Goldman Sachs suggested that about 18 per cent of work globally could be automated by AI, and 300 million full-time jobs could be lost to generative AI. The relentless advancement of AI has thrust the workplace into an era of unprecedented transformation, as competition has seemed to ensue between this cutting-edge technology and its human counterparts. But instead of fearing the rise of machines, we can embrace the opportunity to understand, adapt and harness the power of AI to shape a future where humans and technology coexist harmoniously. The Straits Times Education Forum, titled The AI Revolution: Are You Ready For It?, seeks to tackle the issues surrounding the permeation of AI in the workplace, and provide solutions for stakeholders. The forum, which is to be held in partnership with the Singapore Management University (SMU) on March 8 from 9.30am to noon, will feature guest speakers – including a humanoid robot – who will share insights, perspectives and, most importantly, solutions on how to leverage AI in the workplace. Helming the first session is ST’s newsroom strategy editor Jeremy Au Yong, along with Sophia the Robot, the brainchild of Hanson Robotics. As the world’s first robot citizen, Sophia represents the convergence of science fiction and reality, and embodies the cutting-edge frontier of AI and robotics. The first session will be followed by a panel discussion on AI in the workplace, moderated by SMU’s vice-president of partnerships and engagement Lim Sun Sun. The panellists include Dr Jason Grant Allen, director of the Centre for AI and Data Governance at SMU, Mr Tan Kok Yam, chief executive of SkillsFuture Singapore, and Mr Ben King, country managing director of Google Singapore. ST editor Jaime Ho said: “There’s no doubt AI is the biggest topic of the moment. “The ST Education Forum this year presents a unique opportunity to explore and understand the benefits and risks we face with the rapid advances in AI technology.” More than just learning about AI and how to thrive in this new era, certain shifts in perspectives are necessary to address the concerns brought forth by AI, said Professor Lily Kong, president of SMU. “I would make the case that universities play a pivotal role in this aspect, not only by preparing graduates and professionals with skills to leverage technology, but perhaps more importantly, sharpening in them human attributes that machines cannot replace,” she said.

Process automation professionals are aware of the unique history of the RosemountTM 1151 Pressure Transmitter. It appeared on lists of the top 100 American-made products twice. It changed Rosemount Engineering Co., which is now Emerson, from a supplier specializing in aerospace to an industrial automation firm. The Smithsonian Institution even has showcased the RosemountTM 1151 Pressure Transmitter. The RosemountTM 3051 Pressure Transmitter was designed to improve the lives of process automation professionals when it first came out in 1988, and over the past 35 years, Emerson has been constantly improving the RosemountTM 3051 Pressure Transmitter to keep up with the rapid improvements in digital technology. While the transmitter has undergone numerous upgrades over the years, Emerson recently unveiled the most significant update since its original design. With an emphasis on efficiency and safety, the latest advances mentioned in the following pages demonstrate how the updates bring the user experience into the modern day. With a dynamic graphical display, easily accessible data, Bluetooth® connectivity, a new user-friendly interface, and extensive diagnostics capabilities, the updated RosemountTM 3051 Pressure Transmitter caters to a younger generation of engineers, particularly mobile workers, while remaining familiar to existing users. The RosemountTM 3051 Pressure Transmitter user interfaces have been redesigned to provide a simplified, task based menu structure with common navigation across different hosts and configuration tools for a faster, more intuitive user experience. The new, high contrast, graphical, and backlit display can operate in eight different languages, and utilizing visual icons relays more information with the added clarity that gives users better insight into transmitter status. Keeping the Coplanar Process Connection One thing that customers will find familiar with the RosemountTM 3051 is the RosemountTM CoplanarTM design of the device. Emerson pioneered the Coplanar process connection with the RosemountTM 3051, which features two process connections at the bottom of the pressure transmitter. Because it can be positioned on a single process flange, the mounting becomes lighter in weight than traditional biplanar styles which also limits flexibility. Furthermore, heat, vibration, and electrical noise, as well as other disturbances, can be isolated when using a Coplanar design. Also, the coplanar design protects the transmitter from static pressure. But the most important element of the Coplanar connections is that the configuration makes it possible for the RosemountTM 3051 Pressure Transmitter to be a completely integrated application solution for an expanded market. Enhanced Capabilities of the RosemountTM 3051 Pressure Transmitter Bluetooth Connectivity: New Bluetooth technology simplifies configuration and service tasks without having to physically connect to a device, making maintenance safer by eliminating the need to climb ladders or tanks, get hot work permits, and reduce time in hazardous locations. With a few simple inputs and built-in password protection, users will have an encrypted data connection from the transmitter to their mobile device or configuration tool. Backlit Display: The brand-new display on the transmitter boasts a backlit, high contrast, graphical screen that assures ease of use under any lighting scenario. It is equipped to convey information in eight diverse languages. Visual symbols provide a clearer comprehension of the transmitter’s status, enhancing user-friendliness. Improved User Experience for Differential Pressure Solutions: The transmitter upgrades also include capabilities for dynamic variable configuration, allowing output of dedicated flow, level, or volume variables, something that has historically been limited to flow meters and level devices. Now operators can easily configure the device to measure flow rate or track total flow, measure Level in any installation with simpler built-in configurator steps, and measure Volume for common tank geometries or even customized tanks that require a strapping table. Diagnostics: The RosemountTM 3051 helps identify issues in electrical loops and impulse lines using built-in diagnostics. If not identified, these issues could result in the control system receiving incorrect measurements, potentially leading to safety and quality compromising decisions. When the transmitter identifies an issue through the diagnostic capabilities, it enunciates that back to the control system, displays it clearly on the graphical display, and adds that diagnostic event to its built-in diagnostic log which allows users to always know the device status, even when not connected to the device. These capabilities help service technicians address potential problems faster by detecting and communicating them early when they can still be corrected before they jeopardize people’s safety, operations, and the environment. Today’s labor force expects technology to be intuitive, mobile, and responsive. With an enhanced graphical display, Bluetooth wireless technology, and better overall usability, Emerson’s RosemountTM 3051 Pressure Transmitter meets expectations to modernize operations – making it safer to interact with field equipment and more efficient to manage maintenance and service. About the Author: Varshneya Sridharan leads the Pressure & Temperature business for Asia Pacific. If you wish to contact him regarding any of the products you may email him at Varshneya.Sridharan@Emerson.com.

TOKYO, Japan – Manufacturing World Tokyo 2024, Asia's premier manufacturing exhibition, is set to return to Tokyo from June 19-21, 2024, at the renowned Tokyo Big Sight, expected to be larger and more innovative than ever, bringing together over 2100 exhibitors and 72000 visitors from around the world. The 2024 edition of Manufacturing World Tokyo marks a significant milestone as it continues its tradition of excellence and innovation in the heart of Japan's capital. With a focus on the latest advancements in the manufacturing industry, the event will feature all 10 show-in-show exhibitions, offering a comprehensive showcase of cutting-edge products, technologies, and solutions across various sectors. Attendees can expect a dynamic program of conferences and seminars that delve into key areas such as DX (Digital Transformation), AI (Artificial Intelligence), IoT solutions, additive manufacturing, factory automation, motion control, mechanical components, and factory facilities/equipment. The conference program will be a highlight of the event, featuring cutting-edge case studies and insights from industry leaders. Detailed exhibition information, including the exhibitor & product directory, seminar program, and more, will be available on the official Manufacturing World Tokyo website from late April to early May. Manufacturing World Tokyo 2024 is a platform for industry professionals to connect, collaborate, and drive the future of manufacturing. Join in shaping tomorrow's industry standards and be a part of this transformative event. Don't miss out on this opportunity to explore the forefront of manufacturing innovation. Pre-register today and secure your spot at Manufacturing World Tokyo 2024! For more information, visit https://www.manufacturing-world.jp/tokyo/en-gb.html

A new study investigates whether people like robots that hug us and rub our heads. KEY POINTS Hugging is a powerful emotional experience that supports mental and physical well-being. Yet in reality, not everyone has someone that can give them a hug if they need one. To address this, scientists are testing out "hug robots" that are able to hug humans. In a study, participants reported enjoying robot hugs more if the bot rubbed their heads while hugging them. Getting hugged by a loved one tends to be a powerful positive emotional experience. Hugs have been shown to enhance social bonding and emotional well-being and to reduce feelings of loneliness and depression. They may also decrease stress and improve measures of physical and psychological health. However, not everyone can get a hug every time they need one. Some people are lonely and do not have anyone to hug them. Others may be in long-distance relationships in which it may be not easy to get physical affection from their partner. Older, widowed people who do not feel like moving into a new relationship quickly may receive fewer hugs than they like. Could Hug Robots Help? How can this problem be solved? One idea that scientists have proposed is developing social robots that can hug people. This could, they theorize, offer lonely people the positive effects of getting hugged without the need to know a person who could hug them. However, designing a hug robot that is a) accepted by people and b) leads to positive emotions and reduced stress is not an easy task for scientists. For example, if the robot is very large and made mostly of metal, or generally has an appearance that evokes a military context, people might be frightened of it, rather than happily hugging it. Therefore, psychological research is needed to design a good hug robot. New Study: A Robot That Hugs and Rubs Heads A new study, recently published in the scientific journal International Journal of Social Robotics (Onishi et al., 2023) focused on the development of Moffuly-II, a newly developed hug robot developed based on Moffully, a previous hug robot. Moffully-II looks like a large, humanoid teddy bear and is covered in soft fur. It is two meters tall. Importantly, Moffully-II can move its arms to perform different gestures during the hug. When two people hug, they often do specific things with their hands, such as clapping the hugged person on the back to signal sympathy. It is important that a hug robot can perform similar gestures, too, to make the hug feel realistic. Gestures Make a Difference Moffully-II can perform rubbing gestures (moving the hand for three seconds vertically on the back of the head of the hugged person) and squeezing gestures (holding the back or the head of the hugged person tightly for three seconds). In the study, the scientists wanted to know whether these intra-hug gestures make people like a hug from a robot better. Volunteers who Moffully-II hugged generally preferred hugs with gestures of gesture-less hugs. When Moffully-II performed a gesture, they felt that the robot was more friendly and safe than when they received a gesture-less hug. They also thought that Moffully-II felt more intelligent and natural when it performed gestures while hugging them. Moreover, they enjoyed the hug more, compared to hugs without gestures. When the different types of gestures were compared, volunteers hugged by Moffully-II liked head rubbing the best, followed by back rubbing. Both head squeezing and back squeezing were less preferred than the rubbing gestures. Designing a Good Hugging Robot Is Not Easy Taken together, the findings of the study show that it is possible to design a robot that people enjoy to hug. Attention to detail is important here, as the intra-hug gestures played a big role in how much human volunteers enjoyed the hug. Another takeaway from the study was that people liked rubbing gestures the best. More research is needed to perfect the design of hug robots and for some people, the idea of hugging a robot instead of a real person will always be somewhat uncomfortable. However, despite such concerns, hug robots arguably hold promise for increasing the well-being of people without regular access to hugging—including, perhaps, people in nursing homes struggling with dementia or other problems that keep them from having many social contacts. Source: www.psychologytoday.com

While autofocus has become a standard perk in consumer cameras, the industrial imaging realm demands a touch of innovation. This article by Basler outlines various autofocus options and their tradeoffs, helping you understand how to choose the right solution for your specific application. 1. What are the possible scenarios that require autofocusing in industrial inspections? Autofocusing is a valuable feature in industrial inspection applications where maintaining sharp focus on the object or scene is crucial for accurate analysis, measurement, and quality control. Here are some scenarios in industrial inspection where autofocusing is commonly required: When the working distance keeps changing in dynamic environment; When the application requires high resolution, and you need lenses with larger apertures to maintain image clarity and sharpness; In high-speed inspection scenarios where the camera is operating in lowlight conditions or capturing rapidly moving objects; The implementation of autofocus in these scenarios enhances the efficiency, accuracy, and reliability of industrial inspection systems. This reduces the requirement for manual adjustments, ensuring optimal image quality for subsequent analysis and decision-making processes. 2. Common autofocusing challenges in industrial settings For clear visibility of varied heights, opt for a larger depth of field with a smaller aperture (bigger F number). However, this requires longer exposure for ample brightness. In high-speed applications, a wider aperture (smaller F number) is needed for sufficient light, but it limits depth of field, impacting focus.’ 3. What are the different AF methods and their tradeoffs? In professional imaging, autofocus methods typically fall into two categories: active and passive. Active autofocus employs tools like lasers to calculate the working distance and positions the imaging system accordingly. In contrast, passive autofocus captures multiple images as the working distance changes and selects the focused image through evaluation. Active autofocus is also known as distance-detection-based autofocus, while passive autofocus is referred to as image-based autofocus. Both approaches are used in industrial applications, and they have their respective advantages and limitations. Let’s look at them one by one. Active Autofocus In an active autofocus system, a distance detection device is necessary. The most commonly used device in industrial settings is a laser, while interferometers are less common and mainly utilized in labs. In this article, we will delve into the benefits and limitations of laser autofocus. The key advantages of a Laser AF solution include: firstly, active autofocus proves beneficial when the working distance of the application cannot be predicted. Secondly, the laser detection system excels in both speed and accuracy of distance detection. However, it’s evident from the system diagram in Figure 2 that the hardware setup is quite complex, leading to naturally higher costs. Another significant drawback of the active autofocus approach is its low flexibility. Passive Autofocus There are primarily two methods for passive autofocus: phase-detection autofocus (PDAF) and contrast detection autofocus (CDAF). PDAF, designed within the camera sensor, is more commonly used in consumer cameras. However, for larger projects that allow for a customized sensor with PDAF, it can also be an option for industrial applications. CDAF, also known as image-based autofocus, finds wider application in industrial scenarios. The key advantages of CDAF include a simpler system architecture, lower costs due to requiring less hardware, and greater flexibility. However, this approach has its limitations. Firstly, the speed and accuracy are slightly lower compared to the laser-detection approach. Secondly, as complex image analysis and processing are involved, independently developing a solution from scratch can be resource-demanding. Thirdly, the choice of where to run the image processing becomes crucial. If executed on the CPU, it may consume more resources than desired, impacting the overall system stability. Alternatively, if run on a frame grabber, it involves additional hardware and thus additional costs. 4. How to select and develop your own autofocus solution? In engineering, there’s typically no perfect solution that solves all problems at once; rather, it often involves shifting a problem from one area to another. The methods employed to address the problem will also change. The suitability of a solution depends on your application requirements, and a thorough professional project evaluation before initiation is always essential. In the preceding section, we explored the advantages and limitations of both active and passive autofocus methods. When it comes to selecting the right solution for your application, there is usually no simple and straightforward answer. The following comparison chart provides a comprehensive overview of the advantages and limitations of different approaches for industrial autofocus. Four distinct autofocus methods are compared based on their re-focusing speed, result accuracy, system flexibility, complexity, and cost. “In this chart, the speed for CDAF involves the use of a liquid lens, providing a faster re-focusing mechanism. So, if your project demands utmost accuracy, even with the associated higher cost and system complexity, a laser-based autofocus method is the optimal choice. However, if the speed and accuracy offered by CDAF already meet your project requirements, it stands out as a more cost effective option that excels in all aspects. Even within CDAF, you can choose either a liquid lens or a motorized lens as the key focus-changing device. If you need a fast and continuous re-focusing solution for high-speed inspection lines, a liquid lens autofocus solution is more suitable. On the other hand, when you need occasional zooming and re-focusing, a motorized lens is the better solution. When opting for the CDAF approach, whether with a liquid lens or a motorized lens, the key challenges to overcome include: Coordinating the control of the liquid/motorized lens with the camera. Developing an autofocus algorithm for pre-processing and analyzing images. Addressing CPU loading considerations. And to solve all these problems, building a team with different skillsets and organizing necessary trainings are essential. This will enable the seamless integration of the selected lens and the development of an AF algorithm that works. These tasks don’t sound very difficult until you really dive into it. For example, managing different APIs for the re-focusing device and camera. Additionally, developing autofocus algorithm is a very complex task, requiring in-depth understanding of industrial imaging. Some of the major challenges in refocusing include: insufficient lighting, high image noise, insufficient contrast, targets on different planes, and ill synchronization of lens and image analysis. 5. What are the available CDAF solutions in the market? If your project timeline is tight, or it’s challenging for you to build the right team quickly, you might be looking for solutions available in the market to help you realize autofocusing. The expectations of an AF solution would be one that is able to address one or more of the challenges outlined in the previous part of this particle. Here are some of the main solutions available from Basler: Solution 1: Liquid/motorized lens control from an industrial camera, but no AF algorithm available. In this solution, camera manufacturers develop a feature within the camera FPGA to control the re-focusing lens. The advantage of this approach is that users only need to interact with a single camera API, eliminating the need for lens integration. However, they will still need to develop their own autofocus (AF) algorithm. Nevertheless, if your team can develop the algorithm quickly, Solution 1 may already be sufficient to meet the requirements Solution 2: Liquid/motorized lens control and AF algorithm from a frame grabber FPGA This solution is better suited for high-end applications involving complex image processing or the need to handle large amounts of image data. Developing both the lens control and autofocus algorithm on the frame grabber is advantageous to free up CPU load. Solution 3: Lens control + AF algorithm from an industrial camera Compared to the previous two solutions, this option is the most streamlined in both hardware and software. Users can achieve the best-focused image out of the box, and the integration process is as simple as incorporating a standard industrial camera. There is no additional CPU load, no need for complex programming, and no extra cost for additional hardware. Read more about the autofocus use cases from Basler website.

Malaysia plans to launch artificial intelligence (AI) code of ethics and governance guidelines as soon as April, according to national news agency Bernama. The development of AI code of ethics and governance guidelines has now reached 90 percent, according to the Ministry of Science, Technology and Innovation (MOSTI). The ministry said the document is scheduled to be presented to the Cabinet this month before its official launch in April, according to the report on Friday. “These guidelines are developed specifically for three main categories, namely users and the public, policymakers and providers or developers of AI-based technology. “In general, it outlines seven principles of responsible AI that can be applied to all three main categories. Compliance with these guidelines can ensure ethical and safe use of AI,” it said in a written reply published on the Parliament’s website. The ministry was responding to a question from member of parliament Wong Chen who wanted to know the current status of the code of ethics and governance for AI and how it aligns with the National Artificial Intelligence Roadmap 2021-2025, the report added. MOSTI said that a public consultation session is currently underway with the Malaysia Productivity Corporation through the Unified Public Consultation portal, with a minimum consultation period of two weeks. “The document is being circulated for public consultation until today (March 8). The purpose of this session is to gather feedback from the public on the draft document for improvement before it is finalized,” it said. Source: technode.global

Empower global customers with LLMs to develop customized AI applications Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, unveiled a serverless version of its Platform for AI (PAI)-Elastic Algorithm Service (EAS), designed to offer a cost-efficient solution for model deployment and inference to individuals and enterprises. It also announced the latest integration of its vector engine technology into more product offerings, including its data warehouse Hologres, search services Elasticsearch and OpenSearch, during its inaugural AI & Big Data Summit in Singapore. The integration is designed to make it easier for enterprises to access various large language models (LLMs) and build customized generative AI applications. The PAI-EAS platform allows users to tap into computing resources as needed, eliminating the need to oversee the management and upkeep of physical or virtual servers. Furthermore, users will be billed only for the computing resources they employ, resulting in a 50% reduction in inference costs when compared with the traditional pricing model. The serverless offering, which is currently undergoing beta testing, is accessible for image generation model deployment. In March 2024, the serverless version is scheduled to expand its capabilities to support the deployment of prominent open-source LLMs and models from Alibaba's AI model community, ModelScope. This includes models tailored for tasks such as image segmentation, summary generation, and voice recognition. With LLMs serving, training services and the vector engine technology, Alibaba Cloud is able to support a Retrieval-Augmented Generation (RAG) process, enabling enterprises to enhance LLMs with their knowledge bases for improved outcomes. This translates to improved accuracy, accelerated retrieval of relevant information, and more nuanced insights for enterprises, contributing to heightened efficiency and decision-making capabilities across a wide range of applications. “Alibaba Cloud continues to remain at the forefront of AI and cloud technology innovation. Our technology updates underscore our commitment to empowering enterprises with the latest Intelligence-driven solutions for heightened efficiency and performance. This marks a significant stride in our mission to provide innovative solutions that redefine the possibilities of artificial intelligence in diverse applications,” Zhou Jingren, Chief Technology Officer (CTO), Alibaba Cloud, commented during the summit. Make model training more easily Alibaba Cloud also announced an upgrade on its big data service, called MaxCompute MaxFrame, a distributed Python data processing framework, to tap into growing demand for data preprocessing and data offline/online analysis in AI-related computing tasks. It allows users to process massive amounts of data more efficiently and flexibly with launching AI task such as LLM training. To foster enhanced creativity among designers, Alibaba Cloud has introduced PAI-Artlab, a comprehensive platform for model training and image generation. This solution empowers designers to quickly produce professional-grade designs and unlock greater creative potential. Designers can leverage the platform to generate design images for a variety of applications, including interior home design, product promotional posters, gaming character creation, and gaming scene development. The platform also provides a rich ecosystem of ready-to-use tools to enable designers with no coding background to develop and train custom models that generate images tailored to their specific requirements. Currently, the platform is operational within mainland China and is slated for operation in the Singapore region in the upcoming months. In a landmark move last year, Alibaba Cloud elevated its entire range of database solutions, including the cloud-native database PolarDB, cloud-native data warehouse AnalyticDB, and cloud-native multi-model database Lindorm, integrating its proprietary vector engine technology to significantly enhance performance and capabilities. Vector engines transform text and data into a high-dimensional space, optimizing AI performance by embedding large volumes of structured and unstructured context in a complex yet efficient manner. This facilitates and streamlines tasks like similarity comparisons and semantic analysis, particularly benefiting LLMs and advancing various advanced AI functionalities. Supporting customer success Global customers ranging from large companies and start-ups use Alibaba Cloud’s latest technologies to support their digital transformation journeys. “There is an increasing demand for AI technologies among our global customers. By open-sourcing our proprietary language models, we are well-equipped to offer powerful computing solutions and cutting-edge AI innovations to support clients in developing customized generative AI applications, addressing their unique challenges and positioning them to harness the wave of opportunities emerging from the dynamic generative AI sector”, Selina Yuan, President of International Business at Alibaba Cloud, told the summit. Utilizing the advanced capabilities of Alibaba Cloud's Large Language Model (LLM), Tongyi Qianwen, and Retrieval-Augmented Generation (RAG) technology, Haleon, a world-leading consumer health company, has introduced a specialized AI nutritionist for its Chinese consumers. This AI-powered nutrition expert excels at precisely interpreting consumer inquiries, engaging users with valuable nutritional guidance that is both comprehensive and delivered efficiently. The integration of Tongyi Qianwen's robust functionalities and Haleon's extensive internal nutritional knowledge base ensures that the AI nutritionist operates at the forefront of accuracy and relevancy. Shivani Saini, Haleon's Global Vice President of Digital & Tech Business Units, emphasizes the importance of digital innovation in the healthcare domain: "As the role of digital services becomes increasingly critical in the consumer health industry, our collaboration with Alibaba Cloud to harness the potential of artificial intelligence reflects our commitment to offering personalized health advice to our Chinese consumers. Our aim is to empower our customers with the tools they need for enhanced diet and nutritional management." rinna, a Japanese startup specializing in the development of pre-trained foundation models adept at processing Japanese, has launched its latest innovation: the Nekomata models. These new models are based on the open-source Tongyi Qianwen LLMs, namely the Qwen-7B and Qwen-14B, developed by Alibaba Cloud. The Nekomata series has exhibited exceptional performance in the Stability-AI/lm-evaluation-harness, one of the prominent benchmarks for assessing Japanese language model capabilities. Furthermore, the comprehensive Qwen vocabulary significantly enhances the Nekomata models' ability to process Japanese text with greater efficiency compared to the earlier series, which were based on the Llama2 architecture.“We were impressed by the capabilities of Alibaba Cloud’s LLMs, which help us greatly enhance the performance of our models in a cost-effective way,” said Tianyu Zhao, Researcher from rinna. “We believe Alibaba Cloud’s contribution to the open-source community can help other SMEs and startups to accelerate their AI innovation as well.”

As the premier processing and packaging event for China, ProPak China 2024, the 29th International Processing & Packaging Exhibition, will take place at the National Exhibition Convention Center Shanghai (NECC) from 19 to 21 June 2024. Organized by Sinoexpo Informa markets, ProPak China will be the best platform to let your business take flight this year. Co-located with FoodPack China, Hi & Fi Asia-China, HNC, Starch, ProPak China 2024 will provide you with a gateway to showcase advanced manufacturing equipment, solutions, and technologies. With a comprehensive range of exhibits, international business platform, extensive supporting program, the entire industry meets here. A grand event for processing and packaging industries in Asia With the participation of leading exhibitors of processing and packaging industry, ProPak China is the best place to find out which machines, systems, technologies, and applications are made possible by the latest developments. It provides solutions on food processing, packaging, labelling, weighing, printing, logistics, automation, containers and materials to food, beverage, dairy, confectionery, bakery, condiment, FMCG, pharmaceutical, personal care, cosmetic, 3C home appliance, e-commerce, courier, and other industries. Alongside with specialized trade fairs, ProPak China 2024 will build an ideal platform for industry professionals to connect with their target markets, showcase their brands to decision makers and network with the industry buyers that matter most. The joint exhibition is estimated to attract more than 2,000 leading exhibitors and 100,000 trade buyers from across the globe, and it will cover a record-breaking floor space of 180,000 sqm this year. Exhibitors across 7 professional sectors to discover Processing technology Food and beverage processing machinery, dairy processing machinery, liquid processing, meat processing, pharmaceutical processing, daily chemical product processing machinery, etc. Packaging technology Packaging machinery (food/beverage/FMCG/industrial goods), intelligent packaging, liquid packaging, pharmaceutical packaging machinery, daily chemical product packaging, plastic packaging machinery, cardboard packaging, metal/glass packaging, etc. Intelligent logistics packaging technology Intelligent logistics packaging technology, labelling, etc. Smart packaging and manufacturing Industrial robots and automation, vision and sensor technology, smart storage, and Logistics, etc. Packaging materials and products Packaging materials, packaging products, packaging containers, flexible packaging, etc. Printing and labelling technology End-line printing technology, labelling technology, material supply, etc. Flexible packaging Film-making equipment, laminating equipment, bag-making equipment, etc. About ProPak China ProPak China is organised by Sinoexpo Informa Markets, a joint venture between Shanghai Sinoexpo International Exhibition Ltd and Informa PLC. As the world’s leading exhibitions organizer, Informa Markets creates platforms for industries and specialist markets to trade, innovate and grow. Its portfolio is comprised of more than 550 international B2B events and brands. With our expertise in operating events, exhibitions, and global network in a diverse range of industries, we will help you unlock new opportunities worldwide. Speak to us today and get your business part of the big picture. For more information, please visit https://www.propakchina.com/en Contact us: Ms. Amy Wang Sinoexpo Informa Markets Tel: +86-21-3339 2119 Email: Amy.Wang@IMSinoexpo.com