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IEEE Computer Society: Career Accelerator

MAY 2025

Artificial Intelligence (Automotive)

Will AI drive the future of automotive development? Catch up to speed with the current research on the use of AI and machine learning technologies in automotive applications to race ahead of your competition.

Automating Requirements Review in the Automotive Sector: A Tailored AI Approach

Requirements serve as the foundation for defining what a software product should accomplish, highlighting the importance of clear and well-written specifications. Deficient requirements often lead to defects in delivered software, which can be challenging and costly to rectify.

Certifiability Analysis of Machine Learning Systems for Low-Risk Automotive Applications

This article analyzes the existing safety standard, ISO 26262, for automotive applications, determining the certifiability of machine learning (ML) approaches used in low-risk automotive applications. This can help assuring the security and safety of ML-based autonomous driving systems, gaining the trust of regulators, certification agencies, and stakeholders.

Co-Optimizing Sensing and Deep Machine Learning in Automotive Cyber-Physical

This article presents a framework for co-optimizing sensing and machine learning to meet autonomy goals in emerging automotive cyber-physical systems.

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Videos

AI’s Role in Driving Automotive Design

Avinash Balachandran of Toyota shares how AI is advancing the future of vehicle design and efficiency.

Enabling the New Era of Automotive AI

Manuel Yoon of Autobrains discusses current AI approaches in automotive and introduces a new kind of AI that is scalable.

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Featured Jobs in our Career Center

Full-time Assistant/Associate/ Full Professors in the Department of Computer Science and Information Engineering at Chang Gung University

Open-rank faculty position in Fintech and Computer Science at The Hong Kong University of Science and Technology

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