Technology companies Synopsys and SiMa.ai have announced a collaboration to support automotive firms in developing workload-specific silicon and software for Artificial Intelligence (AI) features in next-generation vehicles.

The partnership will combine Synopsys' EDA tools, automotive-grade IP, and hardware-assisted verification solutions with SiMa.ai’s Machine Learning Accelerator (MLA) IP and comprehensive machine learning (ML) software stack. This approach aims to enable the customisation of IP, subsystems, chiplets, and systems-on-chip (SoCs).

The growing demand for Advanced Driver Assistance Systems (ADAS) and In-vehicle Infotainment (IVI) systems is highlighted as a key area of differentiation for original equipment manufacturers (OEMs), driven by a wide variety of applications. The integration of generative artificial intelligence (GenAI) into these systems is noted as requiring AI at the edge to provide real-time, multi-modal in-car experiences.

Current software-defined vehicle (SDV) architectures are identified as insufficient to meet the demands for diverse applications, as well as the necessary computational performance and reliability. Automotive companies are increasingly seeking AI-ready, workload-verified, and power-efficient software architectures. Additionally, hardware-software co-design solutions are seen as essential to reducing development costs and mitigating production risks.

The Synopsys and SiMa.ai collaboration is intended to support the following objectives:

Early architecture exploration: Tools to assist automotive design engineers in optimising performance, power, and software application requirements for custom or third-party SoC development.

Accelerated software development: A focus on multi-modal functions and GenAI, alongside a workflow incorporating virtual prototyping and emulation to streamline software/hardware integration and reduce time to market.

Cost-effective, adaptable in-vehicle solutions: Customisable, silicon-proven components and subsystems designed to accommodate diverse workloads and integrate advanced ML software and tools.

Continuous upgradeability of automotive edge AI: Systems can be developed to meet current needs and adapt to future requirements, with virtual prototypes enabling the testing of over-the-air updates.

Ravi Subramanian, Head of the Synopsys Product Management and Markets Group, said, "Our collaboration with SiMa.ai will provide automotive companies a significant step forward in modernising their hardware/software co-design processes to meet demand for advanced, in-car experiences that are increasingly costly and complex to deliver. Our leadership in architecture exploration, IP, and hardware-assisted verification, combined with SiMa.ai’s innovative performance and power-optimised ML capabilities, will enable customers to differentiate while continuing to meet stringent cost considerations and industry standards.”

Krishna Rangasayee, Founder and CEO, SiMa.ai, said, "Collaborating closely with Synopsys allows us to provide automotive manufacturers with complete, optimised solutions that accelerate their development cycles. The SiMa.ai MLSoC platform was designed for best possible performance at lowest power consumption across a diverse set of applications—that was the missing piece in the puzzle to make future cars so much smarter and safer than what we have today. When combined with Synopsys' industry-leading IP and software, we will deliver a powerful foundation for innovation across auto OEMs in autonomous driving and in-vehicle experiences."

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Tensor, a Silicon Valley-based artificial intelligence firm, has introduced the Tensor Robocar to the United Kingdom at the 5th annual European AV Summit. The vehicle is the first production-ready Level 4 autonomous car designed for personal ownership.

The Robocar features a dual-mode strategy, allowing for both manual and fully autonomous operation. A key hardware innovation is the world's first foldable steering wheel, co-developed with automotive safety supplier Autoliv.

The vehicle architecture is built for full-stack redundancy to meet regional safety and reliability standards. Tensor's engineering utilises agentic AI and adaptive design to manage complex driving environments. The company has established a technical ecosystem through several strategic partnerships:

• Compute and AI: Collaboration with Arm for power-efficient compute platforms and Nvidia for AI processing.
• Infrastructure: Integration with Oracle for cloud systems.
• Manufacturing and Insurance: Partnerships with VinFast for scalable production and Marsh for insurance frameworks.

The UK appearance follows a global launch announcement in August 2025. The European AV Summit served as a platform to engage with regulators, insurers and city planners regarding the implementation of personal Level 4 ownership.

Tensor plans to commence production this year. Initial commercial availability is targeted for the UAE, EU and US markets.

Jay Xiao, Chief Executive Officer, Tensor, said, "Showcasing Tensor at the European AV Summit offered a vital opportunity to demonstrate a production-ready Level 4 vehicle to the policymakers, insurers and industry partners who shape Europe's AV future. Our purpose-built Robocar is engineered for full-stack redundancy providing a level of safety and reliability that combines agentic AI and adaptive design to meet rigorous regional safety standards. Tensor, showing for the first time in the UK, helped translate our technical evidence into practical pathways for safe, consumer ownership across European cities and soon - globally.

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AVL Mobility Technologies, Inc. has joined forces with Ansible Motion to integrate its AVL VSM software with Ansible Motion’s Driver-in-the-Loop simulators. This combination accelerates virtual development, allowing automotive manufacturers and suppliers to significantly cut down on both the time and expense associated with testing and validation.

The AVL VSM platform serves as a versatile real-time simulation tool capable of modelling individual components, entire systems and full vehicles. It enables engineers to evaluate vehicle dynamics and safety under realistic conditions while considering how various attributes and systems interact. This supports a more cohesive approach to optimising vehicle characteristics early in the design process. When paired with an Ansible Motion simulator, users can conduct virtual test drives to refine chassis dynamics, powertrain behaviour and advanced driver assistance systems.

To demonstrate this integrated solution, AVL has installed an Ansible Motion Theta Seat simulator at its Ann Arbor, Michigan, Technical Centre. This setup allows customers to experience the combined VSM and simulator capability firsthand. The impact is amplified when leveraged alongside AVL’s existing Software-in-the-Loop, Hardware-in-the-Loop and Virtual Test Bed technologies within the facility’s Advanced Mobility & Simulation Lab, enabling a seamless transition from virtual models to further development.

Gary Newton, Vice President – Business Development, AVL, said, "By combining AVL VSM with Ansible Motion Driver-in-the-Loop simulators, manufacturers can move critical decisions to the front of the development cycle, dramatically reducing physical prototypes and test iterations. This tool combination can have an enormous impact on timeline and budget. Imagine validating 70+ track scenarios per day in multiple conditions, surfaces and drive events. The result isn’t incremental improvement; it’s months saved and millions preserved."

Salman Safdar, Business Development Director, Ansible Motion, said, "Through our continuing collaborative efforts with AVL, we’re developing new ways to conduct subjective and objective evaluations of qualified concepts much earlier in the vehicle design cycle. Connecting our simulators seamlessly with a feature-rich simulation environment like AVL VSM elevates the virtual vehicle development process for manufacturers seeking to shorten development times, realise cost savings and reduce environmental impacts."

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German technology company AUMOVIO has been awarded the Microsoft Intelligent Manufacturing Award (MIMA) in the ‘Innovate!’ category for its internally developed AI Hub.

The platform, recognised by Microsoft Germany and Roland Berger, integrates artificial intelligence into industrial workflows to assist with tasks ranging from code optimisation to predictive maintenance.

The AI Hub functions as a centralised system that allows employees to deploy and create specialised AI agents. These agents automate routine activities and provide decision-making support across various corporate functions.

Current deployments and use cases include:

• Software Engineering: Monitoring compliance with internal coding standards and guidelines.
• Procurement: Analysis and assessment of commercial contracts.
• Manufacturing: Diagnostic support for maintenance teams to identify technical failures.
• Scale: Over 1,500 AI agents are currently active, serving 21,000 employees globally.

The system integrates with standard office software and engineering tools. It features a built-in code interpreter for dataset analysis and utilises standardised protocols to interact securely with internal applications.

AUMOVIO developed the platform in-house, transitioning from a proof of concept to a company-wide rollout in under 18 months. This internal approach allows the company to maintain control over system architecture, data protection and the integration of emerging AI technologies into industrial environments.

Recent updates to the platform include secure access to local machines and internal servers, enabling agents to provide closer support for daily operations.

Jean-François Tarabbia, Member of the Executive Board and Head of Architecture and Network Solutions, AUMOVIO, said, "Artificial intelligence is fundamentally changing how industrial companies operate. With the AUMOVIO AI Hub, we have created a platform that brings AI directly into our employees’ daily workflows. By combining advanced AI capabilities with deep industrial expertise, we enable our teams worldwide to access relevant information faster, handle complexity more efficiently, and automate routine tasks to create more room for innovation."

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Israel-based autonomous software technology company Mobileye has announced that a US automaker will integrate the Mobileye Driver Monitoring System (DMS) into its future vehicle models.

The programme utilises the EyeQ6L system-on-chip (SoC), with production scheduled to commence in 2027. The agreement expands an existing Advanced Driver Assistance Systems (ADAS) partnership and is expected to encompass millions of vehicles.

The platform unifies interior sensing, including DMS and Occupant Monitoring (OMS), with exterior road perception on a single chip. This integration allows the system to evaluate driver engagement by correlating eye gaze with real-world road conditions.

Key technical objectives include:

• Hardware Consolidation: Running driver monitoring and ADAS perception on one SoC to eliminate the requirement for a separate Electronic Control Unit (ECU).
• Contextual Awareness: Distinguishing between general distraction and active driver engagement by monitoring whether attention corresponds with specific road events.
• Alert Precision: Reducing false alerts and refining takeover requests for higher levels of vehicle autonomy.

The system is designed to meet Euro NCAP 2026 scoring requirements and prepare for the Euro NCAP 2029 protocol, which is anticipated to shift the industry benchmark from basic eye tracking to detection of meaningful engagement.

Nimrod Nehushtan, EVP of Business Development and Strategy, Mobileye, said, “The next generation of intelligent driving demands richer context from every part of the vehicle – the road ahead, the cabin, and the interplay between them. At the same time, automakers are looking to scale advanced driving features across their lineups without the cost penalty of additional hardware or complex system integration. Mobileye DMS delivers on both – running context-aware driver monitoring on a single ADAS chip and ECU platform. This combination is something Mobileye is uniquely positioned for, and we look forward to helping our customers deploy at scale.”

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