Developing AI models on the edge can present challenges due to hardware constraints, limited data samples and data-science expertise. Automated model discovery work flows can ease the development of models by automating tasks like data correlation, model selection and hyperparameter tuning. This talk will present methods and metrics in developing production ready models with automated model creation flows and criteria to focus on during model selection.

Discover how ECU consolidation, driven by NXP's advanced processors, is reshaping automotive architectures. Examine the various benefits of integrating applications into unified platforms, while addressing the key challenges it presents. Learn how NXP's new SoCs are unlocking new possibilities for a more streamlined and future-ready automotive ecosystem.

Discover the major upcoming cybersecurity regulations, including the US Cyber Trust Mark and the EU Cyber Resilience Act and their requirements. Discuss how they are positioned compared to existing security standards, analyze the impact on the entire IoT device supply chain, and discuss how device manufacturers can best prepare to comply most effectively.

This session presents a novel implementation of data collection and management solutions for converting heterogenous vehicle CAN data into the COVESA Vehicle Signal Specification (VSS) format. Using runtime components deployed on automotive processors, users can define signal rules to collect, filter, and conditionally send data to the cloud. By studying this implementation, we will cover the new and existing data management standards that can enable smarter vehicles.

Matter brings interoperability to smart home devices, however many homes have Zigbee devices already deployed. Using a Matter to Zigbee bridge these existing Zigbee devices can be bridged onto a Matter network and be used with the latest smart home standard.

In this talk, we share NXP’s perspective on the cryptographic migration to PQC. In particular, we discuss the migration timelines outlined by CNSA 2.0, how they affect embedded technologies and roadmaps today and what can be done to ensure a secure and agile environment in the future.