Toyota has accelerated its ‘Green Wave Project’ commemorating this year’s environment month. It is aimed at enhancing its nature conservation activity in the community with the company distributing saplings to its employees, under its sixth challenge that is termed as ‘Establishing a Future Society in Harmony with Nature’ and looks to contribute to the Toyota Environmental Challenge 2050. 

While the eco campaign continues to drive active community involvement to promote greenery, through employee engagement, Toyota Kirloskar Motor (TKM) has successfully distributed over 7000 saplings to its employees, marking significant progress towards its 8,000-sapling target set under its plantation activity. 

With TKM employees encouraged to plant and nurture the distributed saplings within their neighbourhoods and submit periodic reports on plant growth, the it is noteworthy to mention about Toyota’s tree plantation activities that are strongly driven by adopting a unique concept namely the ‘Miyawaki Method of Afforestation’ since 2009, and TKM was the first corporate in India to implement such plantation methodology. TKM’s steadfast commitment to sustainability and ecological restoration is yielding remarkable results, as evidenced by the numerous advantages of the Miyawaki approach. A comprehensive study conducted in collaboration with experts from Bangalore University revealed that the Miyawaki method excels in carbon sequestration, capturing an impressive 30.86 tonnes of carbon per acre.

By doing so, TKM not only restored native habitats but also created self-sustaining ecosystem that contribute to a healthier planet. Under the guidance of Late Dr Akira Miyawaki himself, TKM initiated its maiden Miyawaki plantation drive, way back in 2009, marking a significant milestone in its journey towards conservation of greenery and eco-consciousness. Since that momentous day, TKM's plantation drives have continued to evolve and expanded to 112 acres of green cover within the factory premises, out of which 32 acres of afforestation has been developed using Miyawaki method. Today, Toyota’s manufacturing facility, located in Bidadi (on the outskirts of Bengaluru) proudly boasts more than 328,000 trees of over 790 native species planted within its premises. The results have been truly awe-inspiring with a remarkable increase in biodiversity observed over the years. 

From a mere 181 plant species, the count has surged to an impressive 790, while the number of faunal species has risen from 76 to 284. The vibrant ecosystem now encompasses 88 bird varieties, 38 butterfly species, 107 insects, 17 reptiles, 8 mammals, and 6 amphibians, reflecting the successful development of a thriving native forest ecosystem.

In addition, TKM has created an experiential environmental learning centre ‘Ecozone’ (spread across 25 acres with 17 theme parks and home to 65,000 trees with 650 native species) for children, teachers, community members and other stakeholders, within its manufacturing facility aimed at creating the environment leaders and change champions for the future, to usher in desired behavioural change in the communities. This green zone depicts the creation of dense forest within the plant facility using the ‘Miyawaki Concept’ of plantation. The forests are dominantly planted with species of 4 major forest types such as Dry Deciduous, Moist Deciduous, Semi-evergreen and Evergreen Forest, covering 21 different sub-concepts such as Pollination meadows, herbal garden, plants for spices etc. So far, more than 42,000+ students & other stakeholders have been covered through ecozone initiative.

B Padmanabha, Executive Vice President and Director of Manufacturing - Toyota Kirloskar Motor, averred, “At Toyota Kirloskar Motor, we recognise that environmental and social sustainability are just as crucial as economic progression. Guided by Toyota’s Global Environmental Challenge 2050 (six challenges announced in 2015), our sustainability efforts are far reaching that go beyond product zero emissions. While the first three challenges seek to achieve zero carbon emissions covering the entire life cycle of our products, across manufacturing operations as well as our value chain, the last three challenges focus to achieve water conservation, establishing recycled based society and living in harmony with nature.”

“We believe that a sustainable future is built through collective action and community involvement, as exemplified by one of our eco initiatives - Green Wave Program that covers afforestation (plantation drives, distribution of saplings), sharing best practices (e.g. Miyawaki plantation methodology), creating awareness on nature conservation and imbibing good eco behaviour (Toyota Ecozone – Experiential Eco Learning). Together with our employees and other stakeholders, we aim to catalyse positive change in the community to safeguard the environment to the future,” he added. 

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Aptiv has announced that Volvo Cars has awarded its Gen 8 radar platform for deployment in future vehicle programs, with production scheduled to begin in 2028.

The partnership centres on enhancing the perception capabilities of Volvo’s Advanced Driver Assistance Systems (ADAS) as both companies shift toward software-defined architectures.

The Gen 8 platform is Aptiv's latest advancement in high-resolution sensing, utilising proprietary antenna and silicon designs to support AI-powered and machine learning-powered safety functions.

Key Capabilities of the Gen 8 Radar Platform:

• High-Resolution Perception: Superior angular measurement and discrimination allow the system to resolve complex driving scenarios with high precision.
• Environmental Robustness: Engineered to maintain high performance in adverse weather and challenging urban environments where traditional sensors may struggle.
• Sensor Fusion Optimisation: Designed for seamless integration with cameras and other perception layers, providing a more reliable "world model" for the vehicle's computer.
• Scalability: A modular architecture that allows Volvo to deploy the technology across various vehicle lines and global markets efficiently.

Alwin Bakkenes, Head of Software Engineering at Volvo Cars, said, “Volvo Cars has always been guided by a belief that safety should be designed around people and real‑world driving conditions. Aptiv’s Gen 8 radar platform helps us deliver even more robust perception capabilities to our advanced driver assistance systems across increasingly complex environments and driving scenarios.”

Matthew Cole, Senior Vice President, Sensors & Compute at Aptiv, added: “Volvo Cars’ commitment to protecting people inside and outside the vehicle has set the benchmark for automotive safety. Aptiv’s Gen 8 radar was designed with that same purpose in mind: delivering dependable, high-resolution perception that performs in a wide range of use cases and environmental conditions. We’re proud to support Volvo Cars as they continue advancing their safety ambitions across future vehicle programs.”

The collaboration reinforces Volvo Cars' long-term safety mission – aiming for a future with zero accidents, while positioning Aptiv as a primary technology partner in the evolution of intelligent, software-led vehicle safety systems.

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Mercedes-Benz has announced a strategic partnership with the German low-code automation provider n8n to roll out a global platform for AI-powered workflows.

The initiative is designed to move AI beyond isolated pilot projects and integrate it into everyday operations across R&D, production, sales, HR and IT.

The partnership emphasises digital sovereignty, with Mercedes-Benz utilising n8n’s self-hosted, cloud-agnostic model to maintain strict control over its data and processes within a European technology ecosystem.

The strategy categorises employees into ‘Takers’ (users), ‘Makers’ (who design workflows via n8n) and ‘Builders’ (who develop advanced software). The goal is to empower ‘Makers’ to actively shape AI-driven processes without deep coding knowledge.

n8n will act as the ‘glue’ in the Mercedes-Benz technology stack, connecting existing systems and enabling the deployment of AI agents that can resolve issues and make data-driven decisions autonomously.

The rollout follows a massive company-wide hackathon involving over 1,500 participants. The most successful use cases from this event are currently being transitioned into full-scale operational implementation.

Katrin Lehmann, Chief Information Officer, Mercedes-Benz, said, “Scaling AI takes more than technology, it’s about putting it to work in our core business. Together with n8n, we make it easy for our teams at Mercedes-Benz to turn ideas into measurable impact across our value chain and to actively shape how we operate.”

Jan Oberhauser, Founder & CEO, n8n, added, “What we are building together with Mercedes-Benz answers the question of how to move AI from pilot to production at a scale few can achieve.”

By adopting a modular and flexible low-code architecture, Mercedes-Benz aims to increase its ‘innovation velocity.’ The n8n platform allows the company to rapidly iterate on automation ideas while ensuring that the resulting workflows are governed, scalable and integrated with the brand's broader AI ecosystem. This move reinforces Mercedes-Benz’s commitment to an open, software-defined architecture as a primary factor in industrial competitiveness.

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The OPEN Alliance, a leading industry consortium, has issued a call for greater strategic alignment across the automotive sector to unlock the full potential of ‘automotive ethernet’.

According to the newly released Automotive Ethernet – Architecture Change Drives Growth report from Tech Insights, vehicle Ethernet ports are projected to triple from approximately 962,000 sockets in 2025 to 3.42 million by 2032.

Despite this rapid growth, the analysis highlights a significant ‘adoption gap’. A small group of advanced Original Equipment Manufacturers (OEMs) currently installs 4.5 times more Ethernet ports per vehicle than the market average, leading to high variability in maturity levels across different regions and manufacturers.

The report predicts that the average number of Ethernet sockets per vehicle is forecasted to rise from 11 in 2025 to 27 by 2030. While 100BASE-T1 remains common, its share is declining, 1000BASE-T1 is expected to become the dominant speed grade by 2030 to support high-bandwidth backbones.

The demand for 10BASE-T1S is gaining traction in body and infotainment domains, while 2.5GBASE-T1 is being adopted for advanced sensors and cameras. Time Sensitive Networking (TSN) is projected to underpin nearly 50 percent of all Ethernet-equipped vehicles by 2030.

Suma Prabhakara, President, OPEN Alliance, said, “Automotive Ethernet is set for rapid yet uneven growth as new architectures, higher sensor bandwidth and emerging applications drive a near-tripling of Ethernet sockets in vehicles by 2032. As regions like China grow in overall socket share but remain internally fragmented, the OPEN Alliance’s role in reducing variability and accelerating consistent, standards‑based adoption becomes even more important. We encourage OEMs and suppliers to align with our work and share their implementation experience.”

The report warns that fragmented strategies – where different OEMs use divergent implementation methods – risk keeping the cost of developing autonomous driving and next-generation systems ‘unnecessarily high.’

The OPEN Alliance advocates for the use of its standardised test suites to ensure interoperability and prevent costly integration delays.

Additionally, the report identifies geopolitics as the top risk factor for market stability. It also notes that SERDES (Serialiser/Deserialiser) technology will continue to grow alongside Ethernet rather than being displaced by it, as vehicles require a mix of high-speed data protocols to support complex sensor suites.

Samuel Sigfridsson, OPEN Alliance Board Member, added, “The industry cannot afford fragmented approaches. Tested, standards-based implementation will prevent the costly divergence that slows innovation.”

Representational image courtesy: Pexels/AmmyK

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Bengaluru-headquartered L&T Technology Services (LTTS), a global leader in AI and Digital Engineering R&D, has entered into a strategic global partnership with Emerson, a global automation leader.

The strategic collaboration aims to accelerate system integration and product development across the industrial, transportation, semiconductor & aerospace and defence sectors.

Under the agreement, LTTS will act as a global System Integrator and technology development partner for Emerson’s NI (National Instruments) test and measurement platform. The partnership focuses on architecting software-defined, data-centric engineering environments that enhance system performance and sustainability.

As part of the understanding, LTTS will establish a dedicated CoE at its Mysuru campus in India. This hub will leverage NI hardware and software to drive applied innovation, test automation and validation workflows. The partners will co-develop solutions tailored for high-complexity sectors where resilience and engineering rigor are critical. The engagement also includes joint go-to-market initiatives and extended client support models to provide ‘lifecycle enablement’ for global enterprises.

Ritu Favre, President for Emerson’s Test and Measurement business, said, “Engineering environments are becoming increasingly software defined, data centric and interconnected. Our open, modular NI platform provides the architectural foundation organisations need to manage growing system complexity while accelerating validation and deployment cycles. Through our collaboration with LTTS as a global system integrator, we extend this platform into industry-specific implementations that help customers move from engineering uncertainty to operational confidence and leveraging the proven technology leadership of NI automated test and measurement solutions.”

Alind Saxena, Executive Director & President at LTTS, added, “Our clients in Mobility, Sustainability and Tech require engineering systems that are intelligent and future-ready. Our partnership with Emerson strengthens LTTS’ ability to architect and deploy such systems at scale.”

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