Open-source autonomous driving software company TIER IV has joined the Next-Generation Edge AI Semiconductor Research and Development Programme, led by the Japan Science and Technology Agency (JST). The initiative focuses on the development of a software-defined system-on-chip (SoC) designed for Level 4 autonomous driving applications.

As part of the programme, a team led by Professor Yoshihiro Kawahara at the University of Tokyo is researching physical AI chip design based on specific use cases. Concurrently, TIER IV is developing the logic design for an AI chip aimed at processing inference for end-to-end autonomous driving systems. TIER IV plans to open-source the resulting logic design, compiler, and software toolchain to allow semiconductor manufacturers and developers to modify and build upon the hardware architecture.

The project focuses on developing hardware architectures tailored for Transformer AI models, which process sensor data from cameras and point clouds for perception and motion planning.

The chip design incorporates dedicated circuits for matrix multiplication and attention mechanisms, aiming to reduce power consumption from external memory transfers. To maintain software adaptability, TIER IV is integrating the Tensor Operator Set Architecture (TOSA) as an intermediate representation layer between AI frameworks such as PyTorch and the chip hardware.

The initiative also applies formal verification techniques to mathematically trace numerical consistency during AI model compilation.

Shinpei Kato, Founder and Chief Executive Officer, TIER IV, said, “Advances in AI have been accelerated by powerful computing platforms, including GPUs, which have enabled rapid progress across the industry. As Level 4 autonomous driving moves toward broader deployment, we believe the next step is to complement these platforms with computing architectures designed for real-world and real-time requirements. Through this initiative, we are introducing a software-defined and open approach to AI chip design that combines power efficiency, adaptability, transparency and verifiability. In particular, the ability to understand how an AI model is transformed for execution and to verify the correctness of that processing will be increasingly important as autonomous driving systems are deployed in safety-critical environments. By extending the open-source philosophy behind Autoware from software to AI chip design and related toolchains, we aim to create an open ecosystem in which automakers, semiconductor manufacturers and developers can build upon the technology and continue advancing their own systems. This represents an important step toward a scalable, adaptable and reliable computing foundation for Level 4 autonomous driving.”

Professor Yoshihiro Kawahara stated, “In physical AI applications such as robotics and autonomous driving, GPU power consumption has long been a major bottleneck for deployment on battery-powered devices. This project aims to fundamentally overcome this constraint through a functionally differentiated chip design backward-mapped from specific use cases. I look forward to TIER IV developing chips responsible for high-level decision-making – specifically, the high-level behavioural layer that handles the thinking process essential for end-to-end physical AI and autonomous driving. As the leading force behind Autoware, the global standard open-source software for autonomous driving, TIER IV is democratising design, with an approach spanning application requirements to hardware. This enables applied researchers to shape their ideal semiconductors. This initiative, supported by an open ecosystem, has the potential to lay the foundations for a steady stream of Japanese startups creating high-value semiconductors.”

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Taiwan-headquartered Delta Electronics has announced a collaboration with NVIDIA aimed at developing autonomous driving systems for next-generation vehicles.

The partnership combines Delta’s automotive energy management, electric powertrain systems and in-vehicle high-performance computing system integration with the NVIDIA Hyperion reference platform and NVIDIA Halos safety system.

NVIDIA Hyperion serves as a sensor and compute architecture for Level 4 autonomous vehicles and robotaxis, utilising dual NVIDIA DRIVE AGX Thor processors to enable production-ready vehicle autonomy.

James Tang, Executive Vice-President of Mobility Business Category, Delta, said, "Autonomous driving requires years of technology development, continuous innovation, and strong system integration. Our commitment to the EV sector began several years ago, developing strong expertise in power electronics and key automotive technologies, and accumulating extensive development experience with world-class automakers. We are honoured that NVIDIA recognises Delta’s automotive expertise and strategic direction. Through this joint endeavour, we will further integrate AI and HPC capabilities into the enhancement of advanced autonomous driving functions, turning next-generation smart vehicles into real-world applications while pursuing new opportunities in the fast-growing smart mobility market."

Rishi Dhall, Vice-President of Automotive, NVIDIA, said, "Level 4 autonomous driving requires powerful in-vehicle computing, a comprehensive sensor architecture and close collaboration across the automotive ecosystem. By combining Delta’s automotive and system integration expertise with NVIDIA Hyperion, we can accelerate the development of safe, intelligent and scalable autonomous driving systems for the next generation of mobility."

Under the agreement, Delta will work alongside NVIDIA’s engineering teams to integrate its system technology into the Hyperion architecture, while leveraging NVIDIA's international network to broaden commercial engagement with global automotive manufacturers.

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Stellantis and Wayve will participate in the Wave by Vento event in Turin from 7 to 9 October 2026, featuring executive sessions, technical presentations and demonstration rides focused on artificial intelligence in mobility.

A keynote session titled ‘Technology Made for Humans’ will feature Stellantis CEO Antonio Filosa and Wayve Co-Founder and CEO Alex Kendall on 9 October. Moderated by Adam Jonas, global embodied AI and robotics strategist at Morgan Stanley, the discussion will focus on AI-powered mobility and strategic partnerships for technology deployment at scale.

During the event, Stellantis and Wayve will conduct demonstration rides in Fiat 500e and Maserati Grecale development vehicles equipped with the STLA AutoDrive platform powered by Wayve.

The system integrates the Wayve AI Driver to demonstrate hands-free, door-to-door supervised automated driving, categorised as Level 2++, in real-world driving conditions. The integration follows the Jeep Grand Cherokee development vehicle displayed at Stellantis' Investor Day in May, applying the same core AI driving software across three vehicle architectures without model-specific software re-engineering.

Announced in May 2026, the strategic partnership between Stellantis and Wayve focuses on supervised automated driving software for highway and urban environments. Stellantis targets its first commercial product launch using the technology in North America in 2028.

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Energy In Motion (EIM Ltd) has inaugurated a heavy-duty battery swapping-cum-charging station at Rewari, Haryana, expanding its energy infrastructure along the NH-48 Delhi-Mumbai freight corridor.

The facility was inaugurated by Dr. Hanif Qureshi, IPS, Additional Secretary, Ministry of Heavy Industries, Government of India. The event was attended by representatives from cement and logistics companies, fleet operators, financial institutions, and transport providers, including Mahendra Singhi, Board Member and Advisor at Dalmia Cement, Arun Kumar Khurana, Joint President and Head of Operations Logistics at UltraTech Cement, Manav Bansal, Co-Founder and CEO at Drivn and Narendra Murkumbi, Managing Director at Energy In Motion.

The Rewari station joins existing EIM facilities at Palwal and Kotputli along the NH-48 corridor. Each station operates with a connected load of 2.5 MW to supply power directly along key transit routes. The infrastructure utilises a battery-swapping model designed to replace depleted heavy-vehicle batteries with charged units, reducing vehicle idle time compared to stationary plug-in charging methods.

Narendra Murkumbi, MD, EIM, said, “The Rewari station is dedicated to support Green logistics more economically. The facility can swap a discharged battery of an Electric Heavy commercial vehicle (e-HCV) typically in 7 minutes, against 55-60 minutes of charging time through a conventional charger, there by yielding a significantly higher fleet availability and better economics for any fleet owner or transporter. The station has the capacity to serve over 150 vehicles a day. EIM’s Battery Swapping, together with its larger capacity battery of 350 kWh, can result into a 10 percent increment in the No. of monthly return trips on any corridor for any Logistics Service Provider (LSP). We plan to set-up 40 such stations across India in the current financial year, of which 8 are already operational and 7 more in various stages of installation. EIM, in its pursuit of creating value for its customers through innovative solutions, has already gained large traction across India through its ‘Maitryi’ model (Battery as a Service or BaaS) where a customer’s upfront capital deployment stands reduced by 40 percent while buying a heavy-duty electric truck, a capital-intensive item.”

EIM offers its infrastructure under a Battery as a Service (BaaS) commercial structure, designated as the 'Maitryi' model. The arrangement separates the vehicle purchase price from the battery unit, lowering initial capital expenditure for logistics providers purchasing heavy-duty electric trucks. The company plans to deploy 40 heavy-duty swapping-cum-charging stations across India during the current financial year, with eight facilities currently in operation and seven in development.

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Japanese tier 1 supplier Toyoda Gosei Co’s regional headquarters in China, Toyoda Gosei (China) Investment Co., has inked a partnership agreement for safety standards and technical innovations with CATARC Component Technology (Tianjin) Co., a group company of the China Automotive Technology & Research Center (CATARC).

The agreement focuses on safety standards and technical developments as China Automotive Technology & Research Center formulates vehicle safety regulations and industry standards in China.

As per the understanding, Toyoda Gosei (China) Investment Co., aims to accelerate product development by increasing the deployment of computer-aided engineering technology and creating safety products tailored to local requirements.

The partnership comes amid market shifts in China driven by the adoption of electric vehicles and the entry of new automotive manufacturers. Toyoda Gosei plans to leverage its engineering resources to supply safety components to carmakers operating within the Chinese automotive sector.

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