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),...

Cybersecurity Compliance for Embedded Engineers: Are You CRA Ready?

As critical infrastructure, AI systems, industrial automation, defense networks, and next-generation communications demand higher bandwidth and lower latency, traditional software-based security architectures are increasingly becoming bottlenecks. The need for deterministic performance, real-time en...

In a few short years, AI has progressed from questionable proficiency at basic arithmetic to solving math problems that have stumped humans for decades. When used correctly, it can also be an invaluable resource for completing and improving hardware and software designs. Join presenter Jeremy Cook f...

As Edge AI continues to grow as a foundational technology in many industries, it’s important to have a clear framework when designing it. Register now to find out more.