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Hardware-Based Security for Embedded Systems: Exploring Trusted Platform Modules (TPMs)

As embedded systems become more connected and exposed to cyber threats, software-only security is no longer enough. Trusted Platform Modules (TPMs) provide a hardware root of trust that anchors device integrity, safeguards cryptographic keys, and enables secure boot processes. This blog explores how TPMs strengthen embedded systems, from their core architecture and advanced features to real-world applications in automotive, industrial, and IoT devices — and what engineers must consider to future-proof TPM security against emerging threats.

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The Road to Autonomy: How Embedded Systems Drive Advanced Driver Assistance Systems (ADAS)

ADAS has evolved from simple, reactive driver aids into complex, real-time systems that interpret and anticipate road conditions. Powered by embedded systems, multi-modal sensors, and high-performance signal processing, modern ADAS delivers the safety and intelligence required for today’s vehicles. This blog explores the architectures, algorithms, and best practices behind ADAS innovation—and includes a white paper on designing cost-effective FPGA-based FMCW radar system

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Custom FPGA Solutions for AI Acceleration in Embedded Applications

Custom FPGA solutions are unlocking new levels of AI acceleration at the edge. Learn how Fidus designs real-time, low-power inference engines for high-performance embedded systems—and what sets these architectures apart from off-the-shelf accelerators.

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Future-Proofing Embedded Designs: Migration Strategies Between FPGA Families

Migrating between FPGA families is inevitable in long-lifecycle embedded systems. This blog explores how to architect designs that simplify platform transitions, reduce rework, and future-proof your product against supply shifts and silicon obsolescence.

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Debugging Complex FPGA-Software Interactions

This deep dive explores how to tackle debugging challenges at the intersection of FPGA hardware and software. From clock domain crossings to distributed system issues, learn strategies, tools, and cultural best practices that reduce debug time and build more resilient embedded systems.

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FPGA Co-Processors for Real-Time Edge Analytics: Design Patterns and Best Practices

FPGA Co-Processors are redefining what’s possible at the edge—enabling real-time analytics with precision, efficiency, and scalability. This guide explores proven design patterns, integration models, and optimization strategies to help engineering teams build smarter, faster embedded systems.

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Secure Boot and Runtime Security in FPGA-Based Embedded Systems

This in-depth guide explores the evolving security challenges in FPGA-based embedded systems. Learn how to implement secure boot, protect against runtime threats, and build resilient architectures that meet the demands of aerospace, automotive, and medical applications. See how FPGAs like AMD Versal adaptive SoCs support robust security from design through deployment.

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Balancing Hardware-Software Partitioning in FPGA-Based Systems

Explore best practices for hardware-software partitioning in FPGA-based systems. Learn how to evaluate trade-offs, model performance, and avoid common pitfalls through real-world case studies from telecom, AI, and industrial control. Get a step-by-step framework for architecting flexible, high-performance designs—whether you’re targeting Zynq, Versal, or custom embedded platforms.

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The Future of Embedded Software in Aerospace

Explore the future of aerospace embedded software, where AI, FPGA architectures, and scalable systems drive innovation. Learn how Fidus Systems delivers real-world aerospace solutions through cutting-edge embedded technologies.

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Experience the Future of Vision Processing at Embedded World Germany 2025

Fidus Systems is showcasing next-generation FPGA-accelerated vision processing at Embedded World 2025 (Booth 5-142). See how AMD Versal™ adaptive SoCs deliver real-time AI processing, lower latency, and expanded I/O capabilities. Meet Fidus’ executive team and explore how FPGA expertise can optimize your embedded vision system.

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