Announced at CES 2024, the partnership aims to elevate automotive safety standards through AI-based solutions. The joint effort hopes to fortify the long-term reliability and safety of pivotal automotive components like steering, braking systems, and airbags.
The alliance between Infineon — a chip maker with 58,600 employees — and Aurora Labs, which introduces a range of AI-powered solutions. These solutions harness Aurora Labs’ Line-of-Code Intelligence (LOCI) AI technology, implemented on Infineon’s 32-bit TriCore AURIX TC4x family of microcontrollers (MCUs). This integration enables automotive manufacturers to bolster vehicle safety, reliability, and performance over a vehicle’s lifespan.
Zohar Fox, CEO of Aurora Labs, said in a statement, “Our partnership with Infineon marks a significant stride in leveraging AI-driven automated processes across the vehicle’s software lifecycle. This solution offers real-time monitoring and response to software failures at the MCU and ECU levels, aligning with WP29 requirements. By safeguarding applications and OTA updates, our joint solution effectively mitigates malicious attacks and hardware safety failure.”
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The partners want to facilitate predictive safety maintenance using AI capabilities, ensuring a seamless and secure experience for drivers. This solution optimizes OEM software development processes, addressing lines-of-code intricacies and hardware peripheral resolutions. The ultimate goal is to enable the development of safer systems in compliance with ASIL-D standards.
Thomas Schneid, a senior director at Infineon, said in a statement, “As a leading provider of automotive semiconductors, our collaboration with Aurora Labs signifies a significant step towards enhancing predictive maintenance applications for vehicles. The fusion of Infineon’s established AURIX MCUs with Aurora Labs’ software capabilities in preventing data corruption and software misbehavior ensures an elevated safety level for critical automotive functions, including steering, braking, and airbags.”
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