ASPIRE, the program management arm of Abu Dhabi’s Advanced Technology Research Council (ATRC), has officially announced the return of the Abu Dhabi Autonomous Racing League (A2RL), set to take place on 15 November 2025, at Yas Marina Circuit. The second edition of the world-leading autonomous racing competition will feature an expanded global field, an upgraded racecar and a newly launched virtual racing series, with a total prize pool of USD 2.25 million.

The announcement was made during the Make it in the Emirates Forum, underscoring the UAE’s growing stature in advanced mobility and AI-driven innovation. It builds on the success of its debut in April 2024 – which attracted over 10,000 spectators and more than one million global livestream viewers.

A key highlight of the new season is the introduction of A2RL SIM-Sprint, a year-round virtual competition that will allow teams to refine their algorithms and test autonomous driving systems in simulated environments. This extension of the league offers a controlled, repeatable platform to accelerate AI development, particularly in dealing with ‘edge cases’ – rare scenarios that are difficult to replicate in real-world racing.

Stephane Timpano, CEO of ASPIRE, said, “By combining the physical thrill of racing with the precision of virtual testing, we’re enabling the world’s best minds to push the boundaries of AI. This year’s expanded league reflects Abu Dhabi’s commitment to challenge-driven innovation, where real-world impact is engineered at speed and scale.”

At the heart of the competition is the EAV-24, an upgraded autonomous racecar built on the Super Formula SF23 platform. Developed and autonomised entirely in the UAE, the vehicle showcases the country’s advancing capabilities in AI, robotics and high-performance engineering. The EAV-24 boasts enhanced sensors, improved computing systems and sophisticated control logic to handle the extreme demands of autonomous racing.

H.E. Faisal Al Bannai, Advisor to the UAE President for Strategic Research and Advanced Technology Affairs and Secretary General of ATRC, said, “With A2RL, we’re not just testing autonomous technology, we’re accelerating its evolution in the most demanding conditions possible. It’s a showcase of engineering excellence, but more importantly, a platform for the future of mobility. From high-speed racing to real-world applications, we are demonstrating what’s possible when nations invest in deep tech innovation and challenge the world to think faster, build smarter and compete responsibly.”

The 2025 league will feature elite university and research teams from 10 countries, including newcomers France and Japan. Returning participants from the USA, Germany, China, Singapore, Italy and the UAE round out a field representing the forefront of autonomous systems research.

In addition to showcasing cutting-edge engineering, A2RL aims to democratise innovation in mobility. The SIM-Sprint platform is expected to open to a broader community in the future, offering a structured pathway from entry-level simulation to real-world racing. Aspiring developers, fans, and independent teams will be able to join the journey through a tiered system – Sim Academy, Sim Pro, and A2RL qualification rounds.

Each team will race using the Dallara Super Formula SF23 chassis, considered the world’s fastest open-wheel race car after Formula One. Built with sustainable bio-composites and capable of speeds up to 300 kmph, the SF23 is equipped with advanced braking, drive-by-wire throttle and a custom-built autonomous software stack.

A2RL continues to position Abu Dhabi as a global leader in the future of mobility, where high-performance engineering and AI converge in a real-world testbed of unprecedented scale.

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Bengaluru-based design and technology services major Tata Elxsi and Japanese auto major Suzuki Motor Corporation have inaugurated the Suzuki–Tata Elxsi Cloud HIL Centre in Trivandrum, India.

The new centre is Suzuki’s first full-vehicle cloud-enabled Hardware-in-the-Loop (HIL) validation facility and represents the second engineering centre established under the Tata Elxsi–Suzuki partnership, following the Offshore Development Centre (ODC) in Pune.

The new facility is engineered for early-stage, full-vehicle simulation and validation through a cloud-native infrastructure. It will allow the Japanese automaker’s development and test teams to remotely access HIL infrastructure integrated with Electronic Control Units (ECUs) – reducing reliance on physical prototypes and accelerating validation cycles across R&D centres worldwide. This aligns with Suzuki’s roadmap for Software-Defined Vehicles (SDVs), reinforcing a shift toward software-led, scalable development.

Being purpose-built, the facility integrates Tata Elxsi’s domain expertise in automotive Verification and Validation (V&V), test automation and simulation, which it claims enables transformative advancements in development speed, quality and future readiness.

The Cloud HIL Centre is part of Suzuki’s global ‘SDV Right’ strategy for Electrical and Electronic (E/E) Virtual Development, which is set to play a foundational role in delivering continuous integration, faster release cycles and system reliability.

Katsuhiro Kato, Director and Executive Vice-President, Suzuki Motor Corporation, said, “The Suzuki-Tata Elxsi Cloud HIL Centre is a new base that leverages Tata Elxsi's expertise and deep experience to build an advanced and efficient development system. We hope that Suzuki will promote virtualisation to realise minimisation of energy and contribute to the development of next-generation mobility significantly."

Manoj Raghavan, CEO and Managing Director, Tata Elxsi, said, “We thank Kato-san and Suzuki Motor Corporation for their continued trust. This new Cloud HIL Centre builds on the strong foundation of our Pune ODC and marks a forward leap in our SDV-focused collaboration. It reflects our shared vision for sustainable and smarter mobility.”

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L&T Technology Services (LTTS) has launched PLxAI, a new proprietary generative AI (GenAI) framework designed to accelerate and optimise the product development life cycle for its global clients. The framework, developed by the company's in-house experts, aims to streamline the process from initial concept to post-launch support.

PLxAI leverages both generative and conventional AI to offer a comprehensive solution for developing scalable and reusable solutions across the entire product development process. It is built with a versatile architecture that makes it adaptable for both embedded systems and software development.

A key feature of PLxAI is its ability to capture and utilise existing knowledge, including an organisation's internal or 'tribal' knowledge. This helps it provide context-aware insights that enhance product engineering. The framework also integrates smart prompting and contextual intelligence to improve every stage of the process, from initial design to final validation and aftermarket support.

LTTS has already deployed over 36 use cases of PLxAI, with an additional 35 in the design phase. These applications span various stages of product development, including:

• Concept Design: Assisting with competitive analysis and technology scouting.
• Component Design: Generating specifications, diagrams and calculations.
• Validation Planning: Automatically creating Design Validation Plans and DFMEA templates.
• Failure Mode Analysis: Generating customisable FMEA documents using organisational templates.
• Digital Twin Integration: Supporting both physical and virtual testing workflows.
• Agentic Workflows: Using proactive agents to automate multi-step engineering tasks.

Alind Saxena, President & Executive Director - Mobility & Tech, L&T Technology Services, said,“This is a proud milestone for Team LTTS. The development of PLxAI by our in-house AI experts is a testimony to LTTS’ engineering and technology capabilities. It reaffirms our deep commitment toward driving global client success across Mobility, Sustainability and Tech leveraging the power of AI and Gen-AI based offerings. The enthusiasm from our global clients has been remarkable, with deployments already underway across multiple domains.”

By accelerating innovation and optimising costs, LTTS believes that PLxAI will redefine how businesses approach product development, unlocking new avenues for growth and efficiency.

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Mahindra & Mahindra, one of the leading SUV manufacturers in the country, has announced that extended its partnership with Dolby Laboratories to equip Dolby Atmos audio, to its new XUV 3XO SUV.

This move will make XUV 3X0 REVX A variant, the most affordable SUV globally at INR 1.2 million, to feature the immersive audio technology.

For the unversed, Dolby Atmos was originally developed for cinemas, which features a multidimensional sound experience that places listeners directly within the audio, revealing details with unparalleled clarity and depth.

The Dolby Atmos system is now available in the REVX A, AX5L, AX7 and AX7L variants of the XUV 3XO. Each of these models will come equipped with a six-speaker audio layout that has been meticulously tuned to the vehicle’s unique cabin architecture. The top-tier AX7L variant will further enhance the experience with an additional subwoofer for deeper bass and a truly cinematic soundscape.

R Velusamy, President of Automotive Business (Designate), Mahindra & Mahindra, stated that the introduction of Dolby Atmos in the XUV 3XO, particularly at a sub-INR 1,2 million price point, ‘redefines in-cabin audio with immersive sound for a larger group of general consumers.’

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Helm.ai, an autonomous driving AI software company, has signed a multi-year joint development agreement with Japanese auto major Honda Motor Co., to accelerate development of Honda’s next-generation self-driving capabilities, including its Navigate on Autopilot (NOA) platform.

The partnership will leverage Helm.ai’s full stack real-time AI software and large-scale autlabeling & generative simulation foundation models for development and validation. Honda will utilise it on Advanced Driver Assistance Systems (ADAS) for production consumer cars.

Helm.ai on its part will provide its full suite of products geared toward highway and urban autonomy, including its perception stack (Helm.ai Vision), vision-based real-time path prediction AI (Helm.ai Driver) and generative simulation models (VidGen-2, GenSim-1, GenSim-2 and WorldGen-1). The solution is powered by Helm.ai’s Deep Teaching technology, enabling real-time AI systems and offline foundation models pre-trained on large-scale, diverse, multi-modal datasets. This the company shared, can be further adapted to meet Honda’s specifications for safe, reliable and scalable deployment.

Honda’s NOA system utilises an end-to-end (E2E) AI architecture that controls everything from environmental perception to decision-making and vehicle actuation. It is designed as a partially automated system, which currently requires constant driver attention, supporting both highway and complex urban driving.

The Japanese automaker aims to scale this E2E technology across a broader vehicle lineup and is developing a system that highly assists in operating the accelerator and steering throughout the entire route to the destination, without distinction between regular roads and highways, with mass production targeted after 2027.

Mahito Shikama, Vice-President of Software Defined Vehicle Business Supervisory Unit at Honda Motor Co, said, “This joint development supports Honda’s goal of realising safe and affordable automated driving technologies for our global customers. Through our collaboration with Helm.ai, we are advancing the development of AI technologies that enhance the real-world applicability of autonomous driving systems, bringing us closer to a future with zero traffic collision fatalities.”

Vladislav Voroninski, CEO and Founder, Helm.ai, said, “We look forward to entering the next phase of production development with Honda, as they expand their in-house efforts to deploy cutting edge autonomous driving technologies in mass market vehicles. This joint development highlights our shared vision of enabling AI-powered mobility at scale.”

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