Blog
Intel Agilex vs AMD Versal: Which FPGA Wins for Data Center AI?
KEY FINDINGS Intel Agilex leads on raw logic density, memory bandwidth (HBM2e in flagship SKUs), and ecosystem maturity. It’s the ...
FPGA Engineer Salaries in 2026: What the Market Is Really Paying—and How to Earn More
A data-driven salary guide for RTL designers, FPGA verification engineers, and embedded hardware professionals — covering the United States, United ...
FPGA-Based Image and Video Processing for Computer Vision Applications
Introduction In today’s digital world, computer vision is powering innovations in areas such as autonomous vehicles, healthcare imaging, surveillance, industrial ...
How FPGAs Power Next-Generation Telecommunications Infrastructure
The telecommunications industry is experiencing an unprecedented transformation with the rollout of 5G, the growth of IoT, and the increasing ...
Multi-FPGA Systems – Strategies for Partitioning, Interconnect, and Synchronization
As system complexity and performance demands continue to rise, single-FPGA solutions are often no longer sufficient. Applications such as high-performance ...
The Importance of Traceability in Measurement Systems
Measurement systems form the backbone of modern industries. From manufacturing and aerospace to healthcare and energy, the precision and reliability ...
The Evolution of Artificial Intelligence- From Rule-Based Systems to Deep Learning
Artificial Intelligence, or AI, has become one of the most transformative forces in modern technology. It powers the tools we ...
FPGA-Based Time-Sensitive Networking (TSN): Enabling Deterministic Industrial Communication
Industrial automation, smart factories, and connected industries are rapidly evolving, driven by the increasing need for real-time communication and precise ...
High-Level Synthesis (HLS): Accelerating FPGA Development with C/C++ and Python
Field-Programmable Gate Arrays have become a cornerstone in modern computing applications, from high-performance computing (HPC) and AI/ML workloads to telecommunications ...
FPGA Implementation of Neural Network Accelerators: Challenges and Best Practices
The rise of artificial intelligence (AI) and deep learning has driven demand for highly efficient computing platforms capable of processing ...
