Modern automobiles present several engineering challenges, particularly as the software-defined vehicle (SDV) comes more into focus. These challenges include, but certainly are not limited to, software complexity, electrification, autonomous drive, connectivity, and over-the-air (OTA) updates, to th...

Autonomous capabilities are rapidly moving from experimentation into operational defense systems, bringing AI directly into mission environments at the tactical edge. But while machine learning introduces powerful new capabilities, mission-critical platforms still demand deterministic performance, p...

Originally developed for harsh automotive applications by Robert Bosch GmbH in the 1980s, today the CAN bus communication standard is also widely employed in industry and other applications where reliable device-to-device data transfer is required. In this online training session, presenter Jeremy C...

Hospital medical equipment is expected to deliver continuous uptime, deterministic performance, and uncompromising safety and security—all while meeting strict regulatory requirements. Achieving this level of reliability starts with the right system architecture.

Embedded AI can be the perfect ingredient to your embedded product—if you implement it properly. Working with TinyML and infusing just the right locally executed voice recognition with Natural Language Processing (NLP), face recognition for machine access and security, and Real-Time Analytics (RTA),...