Securing the AIoT Ecosystem explores how cutting‑edge semiconductors bring edge AI, energy efficiency, and hardware‑rooted security to large‑scale device management.
Voice recognition technology is revolutionizing industries, from automotive and retail to fintech and healthcare, by enhancing user experience and operational efficiency. However, as these systems become more integrated into our daily lives, robust security measures are essential to protect sensitive voice data from emerging threats like spoofing and unauthorized access.
Join rinf.tech at Embedded World 2025 to explore a new era in embedded innovation. At Booth 5-381 in Hall 5, discover our advanced LiDAR-Based Workplace Safety Solution—a system designed to enhance safety through dynamic, software-defined zones, real-time alerts, and intelligent operational insights. Learn how this versatile solution can be applied to diverse environments, from construction sites to production floors, ensuring a proactive approach to hazard detection and operational efficiency.
Exploring the crucial strategies necessary to secure embedded systems in today’s connected world, highlighting best practices for threat modeling, secure design, and compliance with emerging regulations.
This article aims to comprehensively explain firmware enablement, its role in the product development lifecycle, and best practices for successful implementation.
Exploring the pivotal role of R&D in driving innovation and digital transformation within embedded engineering.
A comprehensive guide on the best practices for transitioning embedded software from prototype to production.
Breaking down the pros and cons of open-source and proprietary solutions for embedded software development.
Exploring how embedding AI into edge devices enhances decision-making processes and revolutionizes interactions within the physical world, driving efficiencies across numerous industries.