In the world of radio frequency (RF) applications, you need flexible, precise, and fast signal analysis over the widest possible spectrum to ensure compliance and reliability, especially in radar, signal intelligence, and test & measurement applications.

An interview with Sumit Shah, Senior Director, Adaptive & Embedded Computing Group, AMD

As the need for faster, more efficient data processing increases, Field Programmable Gate Arrays (FPGAs) are a fundamental technology bridging the gap between traditional hardware accelerators and cutting-edge applications like Artificial Intelligence (AI). They are becoming a critical building block for innovations from edge computing to cloud infrastructure.

Today’s growing number of FPGA-based applications, such as industrial networking, embedded vision, and automotive systems, can benefit from evaluation and prototyping tools that help developers bring low-power, cost-effective, and flexible solutions to market faster.

Intel and AMD have launched an x86 ecosystem advisory group that the companies say will bring together technology leaders to shape the future of the x86 architecture. They want to show that x86 is able to meet the needs of the market better than other architectures through performance and interoperability across hardware and software.

Today’s expansive range of embedded vision, industrial automation, advanced driver assisted systems (ADAS), and streaming/encoding applications can benefit from a platform enabling high-performance processing and flexible hardware customization for quick application prototyping and reliable system integration.

NUREMBERG, Germany -- AMD announced the expansion of the AMD Versal™ adaptive system on chip (SoC) portfolio with the new Versal AI Edge Series Gen 2 and Versal Prime Series Gen 2 adaptive SoCs designed to combine preprocessing, AI inference, and postprocessing on a single device for end-to-end acceleration of AI-driven embedded systems.