Thus, our newly developed "Tire Leap AI Analysis" utilises advanced AI-based analysis technology to analyse (for example) electron microscope imagery of tyre rubber compounds in order to achieve high-precision analysis that far exceeds human capabilities, thereby making it possible to derive accurate estimates of rubber properties from structural data found in this imagery.

Specifically, it is a technology that estimates rubber properties precise from combining data on the individual raw materials contained in a rubber compound with data on its internal structure. In the future, we will continue to develop this technology and develop technology to estimate the future rubber properties from electron microscope imagery of unused rubber.

■ Technology to Precisely Estimate Rubber Properties Based on Structures & Materials

Tire Leap AI Analysis utilises an AI-based image analysis system to analyse the internal structures of rubber in images captured by an electron microscope in order to infer information about the properties of the rubber based on its structural data (i.e. the results of image analysis). By combining this structural data with data about the materials that make up rubber compounds, this technology is then able to derive information about the physical properties of rubber with a high degree of precision.

■ Technology to Detect Changes in the Internal Structures of Rubber After Use & Estimate Resulting Changes in Rubber Properties

By comparing images of a tyre that has never been used (i.e. that is brand new) with images of a tyre that has been used (i.e. after wear over time), this AI-based image analysis system can determine where changes have occurred in the internal structures of the tyre’s rubber and then estimate the physical properties of the rubber in the areas that have undergone these changes. The practical application of this technology will facilitate the design of new rubber compounds that are less prone to performance degradation due to wear and tear, thus contributing to the development and advancement of Performance Sustaining Technology.

Dr. Miki Haseyama, Hokkaido University: We have developed a new AI technology that is able to estimate the extent of changes in the structures based on analysis of images of the internal structures of rubber. As compiling data for this kind of machine learning would otherwise be extremely time-consuming, one of the main merits of this new technology is the fact that this AI does not require prior field data from structural changes in rubber for machine learning. Rather, this AI uses deep learning to learn about the properties of new rubber (i.e. prior to undergoing structural changes) and then estimates the extent of changes in the structure by analysing how data from old rubber (i.e. after undergoing structural changes) compares to the data that it has previously learned about new data. This approach to machine learning allows the AI to automatically detect various types of changes in the structures of rubber.

Kiyoshige Muraoka, Senior Executive Officer, Sumitomo Rubber Industries: We have been working jointly with Hokkaido University to further advance the development of AI technology that can understand how the internal structures of tyre rubber change through use. We have already put this new technology to use in the development of our latest “ENASAVE NEXT III” fuel-efficient tyres, which not only achieve the highest possible “AAA-a” rating for fuel efficiency and wet grip performance (under Japan’s tyre labelling system), but also reduce changes in tyre performance that occur over time as a result of use by half. Moving forward, we will continue to advance our Tire Leap AI Analysis technology to find and analyse slight variations in the internal structures of rubber that human senses and knowhow have been unable to detect so that we can then use the resulting knowledge to develop new technologies that further enhance tyre performance and ensure that this high performance lasts longer. In this way, we will accelerate research and development toward producing high-performance tyres that provide greater safety and peace of mind with the aim of contributing to the realisation of a sustainable mobility society for future generations.

References:

Ren Togo, Naoki Saito, Takahiro Ogawa, Miki Haseyama, “Estimating regions of deterioration in electron microscope images of rubber materials via a transfer learning-based anomaly detection model,” IEEE Access, vol. 7, pp. 162395-162404, 2019.

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A groundbreaking collaboration between technology giant Continental and kitchen manufacturer nobilia is presenting a new vision for the kitchen, transforming it from a utilitarian space into an intelligent and responsive living environment. This joint innovation project, set to debut at nobilia’s international exhibition in Verl, harnesses the material science expertise of Continental’s ContiTech group, drawing directly from its advanced work in automotive interiors.

The concept, titled ‘Evolution of Senses’, showcases how functional materials can redefine everyday experiences through comfort, safety and seamless design. The core of this innovation lies in revolutionary translucent surfaces. These specialised materials are light-permeable and serve as a host for printed electronics, enabling an array of hidden functions. This technology allows a kitchen countertop to discreetly incorporate wireless smartphone charging, create specific heating or cooling zones to keep food and drinks at their ideal temperature and feature touch-sensitive control panels. All these elements remain completely invisible when not in use, preserving a clean aesthetic. This principle of surface technology is also demonstrated in a kitchen niche, where a screen is hidden behind a translucent film with a wood-like finish, only appearing when activated.

The commitment to modern living extends to sustainability, with the use of durable and resource-efficient materials. The chairs, for instance, are upholstered in an artificial leather that is composed of over 90 percent bio-based and renewable raw materials, including organically grown cotton.

Further enhancing the kitchen's intelligence are smart AI features, engineered by AUMOVIO Engineering Solutions. Adapted from Continental's automotive technology, these systems can recognise food items, offer recipe recommendations and provide nutritional insights. They also contribute to family safety by issuing alerts for potential hazards like boiling water or objects that might be dangerous for children.

While some of these technologies are production-ready and others are still in the prototype stage, they collectively offer a concrete and exciting preview of the future, where the home environment is both intuitively connected and sustainably crafted.

Ralf Imbery, Head of Design, Marketing and Strategy for Continental’s global surface materials business, said, “For many decades, our materials and technologies have shaped modern living spaces – from vehicle interiors to home furniture. With this concept kitchen, we’re showing how our expertise can be transferred to new requirements: for greater functionality, user-oriented design and technology in everyday life. For us, cooperation projects of this kind are an important strategic tool that allow us to test innovations at an early stage and, together with partners, develop new perspectives for future living environments.”

Florian Degenhardt, Head of Innovation, nobilia, said, “The collaboration with Continental is a real game-changer. It enables us to create intuitive surfaces that respond to the user while at the same time preserving the elegant design of modern kitchens.”

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NASA has launched a three-phase competition offering USD 155,000 in prizes to develop next-generation wheels for lunar rovers, as the US space agency prepares for sustained exploration missions to the Moon’s surface.

The “Rock and Roll with NASA Challenge” seeks lightweight, durable wheel designs capable of traversing the Moon’s harsh terrain of razor-sharp regolith whilst maintaining performance in extreme temperature variations and carrying substantial cargo loads at higher speeds.

The competition addresses critical mobility challenges facing future lunar missions, where traditional rover wheels have struggled with the Moon’s abrasive surface materials and temperature extremes that can plummet to minus 173 degrees Celsius during lunar nights.

“The next era of lunar exploration demands a new kind of wheel – one that can sprint across razor-sharp regolith, shrug off extremely cold nights, and keep a rover rolling day after lunar day,” NASA stated in announcing the challenge.

The programme unfolds across three distinct phases. Phase 1, which opened on 28 August and runs until 4 November 2025, will reward the best conceptual designs and analyses. Phase 2, scheduled for January through April 2026, will fund prototype development. The final phase in May-June 2026 will test leading designs through live obstacle courses simulating lunar conditions.

For the concluding phase, NASA will deploy MicroChariot, a 45-kilogram test rover, to evaluate top-performing wheel designs at the Johnson Space Centre Rockyard facility in Houston, Texas. The testing ground will simulate the challenging lunar terrain that future missions must navigate.

The competition remains open to diverse participants, from university student teams and independent inventors to established aerospace companies, reflecting NASA’s broader strategy of engaging private sector innovation for space exploration technologies.

NASA mobility engineers will provide ongoing feedback throughout the competition phases, offering participants insights from the agency’s extensive experience in planetary rover operations, including successful missions to Mars.

The challenge comes as NASA intensifies preparations for the Artemis programme, which aims to establish a sustained human presence on the Moon and serve as a stepping stone for eventual Mars exploration missions.

Current lunar rover designs have faced limitations in speed, cargo capacity, and durability when operating across the Moon’s challenging surface conditions, creating demand for breakthrough mobility solutions that can support extended surface operations.

The competition timeline positions Phase 2 prototype funding to commence in January 2026, allowing successful Phase 1 participants several months to refine their concepts before advancing to hardware development.

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VMI will display its automated Strainer Plate Cleaning Station, a significant innovation designed to address a longstanding challenge within the rubber manufacturing industry, at the upcoming Global Polymer Summit in Cleveland. This comes at a critical time of rapid economic expansion in the United States, largely fuelled by construction and industrial renewal, which is driving increased demand for high-quality, efficiently produced rubber components.

These components are essential across a vast spectrum of applications, from microscopic seals and industrial machinery to pipelines and specialised products for extreme environments. To keep pace, US manufacturers are actively seeking advanced equipment that combines superior quality, shorter lead times and robust stateside support. For over two decades, VMI has met these exact needs from its Ohio operations, offering German-engineered solutions supported by responsive local service.

The new Strainer Plate Cleaning Station exemplifies VMI's pioneering ‘Hands-off, Eyes-off’ automation philosophy, previously applied to its industry-standard tyre building machines. This system utilises advanced robotics to completely transform what has traditionally been one of the most labour-intensive, unpleasant and hazardous jobs in a rubber factory. The automated Strainer Plate Cleaning Station will be demonstrated in operation at VMI’s booth, number 1430, during the Global Polymer Summit from 8th to 11th September.

The benefits of this automation are substantial. Companies can reallocate skilled workers to more value-added production roles, thereby boosting overall productivity and driving down unit costs. This enhanced efficiency allows businesses to become more competitive and responsive to dynamic market demands. The system integrates seamlessly with VMI’s extrusion and gear pump systems, which are backed by proprietary management software that enables the flexible production of both standard and highly specialised components on a single platform.

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The Qingdao Municipal Government Information Office recently hosted a media briefing on ‘Shandong's Top Brands on the Industrial Chain – Intelligent Equipment Industrial Chain’ at the MESNAC Jiaozhou Equipment Industrial Park. Senior leaders from MESNAC and three other prominent firms were in attendance to present their advancements and field questions from journalists.

A central focus was on MESNAC's proprietary ROC R&D platform, a unique modular system engineered specifically for the rubber equipment sector. This platform is fundamentally structured around client requirements, integrating comprehensive product design, technological development and rigorous testing protocols. This architecture facilitates a configurable development process, allowing for both large-scale customisation and remarkably agile product delivery. The company's operational philosophy was explained as a dedicated team model, where a single unit focuses its expertise on one product for its entire lifecycle. This meticulous approach has generated significant industry innovations in recent years, including fully automatic material weighing systems, unmanned tire building machinery and intelligent tyre curing press workshops capable of operating as fully unmanned ‘lights-out’ facilities.

The event included a practical demonstration of this technology in action. Attendees witnessed the NPS Semi-steel One-stage Building Machine, which achieves a single-tyre production cycle of just 35 seconds through complete automation. This system boasts world-class efficiency, requiring only one person to supervise multiple machines simultaneously. It embodies a new generation of intelligent manufacturing by seamlessly integrating cutting-edge technologies such as precision machine vision, industrial robotics, sophisticated industrial IoT software and autonomous learning capabilities.

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