Nishatha Nagarajan

Nishatha is a Technical Specialist for Semiconductor Engineering at JLR working on evaluating performance of next generation chips. She has 12 years of automotive experience with early design to product launch expertise. She has a MS in Signal Processing from the University of Toledo, Ohio.

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Presentation

ADAS and UX-driven semiconductor advances and AI in automotive

Semiconductors have been the key components of new age technology since the 1960s. The last decade contributed a significant acceleration to this area and the Covid-19 pandemic added a new dimension in how these key components are being viewed as the automotive industry felt the effects of chip shortages. This is only one of the driving factors for change in semiconductor strategy. With major automotive architecture changes like the software-defined vehicle (SDV) which focuses on centralized supercomputers, the need for an increase in chip performance is unprecedented. Other factors that contribute to performance needs are autonomy of vehicles and user experience. The key technology attribute is advancements in AI which are compute hungry and the deployment of these networks on edge devices has become a critical challenge. The number of parameters trained in AI have exponentially increased with generative AI going up to 1 trillion for some networks. The trend is only going to continue, and the industry will have to come together to address these challenges collectively.