Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains


Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by their constrained computational resources and low power requirements, presents unique challenges and opportunities. As the digital world continues to generate increasingly complex and high-volume da... » read more

Securing Silicon From the Start – Modular IP Solutions for Long-Term Resilience


Security isn’t a feature; it’s the foundation for any device that stores data, connects, or makes decisions. This eBook explores how to build more secure, future-ready products from the ground up — with modular IP, expert guidance, and end-to-end solutions proven across billions of SoCs. Key takeaways: Design with security from the ground up. Don’t rely on patches — embed prot... » read more

Edge And IoT Security Turning A Corner


Security is beginning to improve for a wide range of IoT and edge devices due to better tools, the implementation of new standards and methodologies, and an increasing level of collaboration and communication across different market segments that in the past had little or no interaction. Until recently, many vendors in cost-sensitive markets offered the bare minimum of security. To make matt... » read more