Its Stellar P3E MCU enables real-time AI applications at the edge to significantly enhance vehicle intelligence, simplify multi-function integration for X-in-1 ECUs, and deliver real-time performance for applications from xEV efficiency to body zonal architectures.
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At CES 2026, the AI powerhouse released an open-reasoning VLA Alpamayo family of open AI models designed to tackle long-tail AV challenges, announced an expanded Drive Hyperion ecosystem, and said the ADAS in the Mercedes-Benz CLA signals the broader rollout of its full-stack software across the industry.
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The S32N7 automotive processor series is said to transform vehicles into intelligent edge devices by centralizing software and data across all vehicle domains, solving complexity, and unlocking AI-powered vehicle capabilities.
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Helping automakers bring higher levels of autonomy to their entire fleet are a scalable high-performance compute SoC, a single-chip, eight-by-eight 4D imaging radar transceiver, and a new Ethernet networking physical layer device.
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At its inaugural Autonomy & AI Day in Palo Alto, the company outlined, and we cover here in depth, its roadmap for next-generation vehicle autonomy, introduced an evolved software architecture underpinned by artificial intelligence, and unveiled proprietary silicon to support the efforts.
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Walter Wottreng, VP of Automotive Strategy & Business Development at Synopsys, writes about the challenges of transitioning from a hardware-centric, siloed approach to hardware/software co-design and the software development areas OEMs are seeking to improve.
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In addition to the San Jose, CA-based startup announcing Modalix for physical AI applications is in production and available for customers, it released a system-on-module and devkit to accelerate production and debuted the LLiMa software framework built to deploy LLMs and GenAI models.
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The company hopes to strengthen its 13.5% market share and even stronger position in microcontrollers with its latest UL Solutions partnership to help OEMs achieve ISO 26262 compliance, adding to boosted SDV systems capabilities from the announced acquisition of Marvell’s automotive Ethernet business.
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Today, at its GTC Paris AI conference held in conjunction with the Viva Technology startup/tech event, Nvidia revealed its latest physical AI advancements in full-stack Drive AV three-computer platform and Cosmos foundation models as it pursues the trillion-dollar automotive opportunity.
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The new solution accelerates software and silicon development, helping deliver AI capabilities faster and more efficiently, with the pre-verified, safety-capable platform saving an estimated 20% of engineering resources, reducing development cost and complexity.
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