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LLMs such as ChatGPT fail even with simple logic tasks
AI study reveals serious weaknesses of language learning models in logical thinking.
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Selected content of AEEmobility in English
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FEV: AI-controlled infotainment solution
Intelligent voice assistant uses generative AI to understand the needs of drivers and passengers and provide optimal solutions in real time.
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Mobileye: Radar sensor enables camera/LiDAR-independent environment detection
Imaging radar sensor enables redundant environment detection for automated driving functions.
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Intel: GPUs for AI applications in the vehicle cockpit
New discrete GPU to take the use of artificial intelligence in vehicles to a new level from 2025 with more flexibility and greater scalability.
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Vector and HighTec: Functional safety applications with Rust and AUTOSAR Classic
The Rust programming language is currently the best choice for safety-relevant automotive systems that place high demands on safety and robustness. Vector and HighTec EDV-Systeme will be demonstrating the successful integration of Rust applications with C-based AUTOSAR Classic basic software for the first time.
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Study: Automotive Cyber Maturity Report 2024
ETAS has published the fourth Automotive Cyber Maturity Report, which summarizes 25 pages of findings on the current implementation status and the importance of cybersecurity in companies.
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Whitepaper: Post-Quantum Cryptographic – Migration Challenges for Embedded Devices
NXP’s white paper on post-quantum cryptography (PQC) provides an in-depth analysis of the challenges and solutions for implementing PQC on embedded devices.
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Interview: “Correct by design” replaces “correct by testing”
The interview with Dr. Stefan Poledna from TTTech Auto provides interesting insights into the challenges and solutions in the field of software-defined vehicles (SDVs).
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Blog: New classification for software-defined vehicles (SDV)
Dr. Moritz Neukirchner from Elektrobit proposes a classification in six SDV levels (Level 0 to 5), similar to the SAE autonomy levels.
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„Software urgently needs to be monetized!“
Joachim Mathes, CTO of the Valeo Brain Division, explains which business models Valeo is planning for software-defined vehicles in the future in an interview with AEEmobility.