Articles and blogs

Learn how MLCCs can boost efficiency and reduce footprints to support higher power density in AI datacenter racks and servers.

Infineon PSOC Edge E84 components and AI Kit simplify secure edge AI development with AI acceleration, embedded security, and rapid prototyping.

FPGA evaluation boards with built-in USB and MIPI connectivity streamline development of reliable, high-bandwidth, low-latency sensor and video applications.

Altera FPGA SoCs help robotics designers add AI, real-time control, sensor flexibility, and scalable motion support as requirements evolve.

Combine robotics, 3D printing, and maker ingenuity to create a practical SpikerBot modification for safer autonomous exploration.

Developers can simplify edge AI deployment using an NPU-enabled multiprotocol wireless SoC and associated kit, software, and AI assistant.

Learn how the Arduino UNO Q accelerates the development of real-time edge AI applications and industrial retrofits that require embedded Linux.

For anybody interested, this article will give a crash course in what exactly constitutes a hardware accelerator and how they can be implemented by anybody.

Lattice Semiconductor collaborates with NVIDIA to provide a solution for rapid design and prototyping of edge AI applications.

Learn how Altera Agilex 5 and Agilex 3 FPGAs with AI tensor blocks address edge AI challenges while speeding development with the FPGA AI Suite.

Structured light, FPGA acceleration, and machine vision enable fast, accurate random bin picking for high-performance robotic automation systems.

The human brain is a marvel of nature, but unlike computers, it doesn’t rely on GPUs, AI accelerators, RAM, or hard drives, yet it internalizes and stores a lifetime of experiences, emotions, and knowledge.

Simplify AI prototyping and development using the Arduino UNO Q’s Linux-capable MPU, real-time MCU, and unified App Lab tool.

Learn how a modular development platform helps designers solve processor selection challenges and accelerate prototyping for both MCUs and MPUs.

iWave’s edge AI platform accelerates complex AI workloads.

Design precise yet flexible fixed-in-place robotics using advanced control, imaging, sensing, and communications technologies.

Smart Bluetooth beacons with System-on-a-Chip technology collect and analyze operational data in real time to provide machine-learning-informed insights.

A drop-in solution with edge AI enables immediate deployment of wireless condition-based monitoring with real-time notification of vibration anomalies.

Wireless vibration monitoring evaluation kit supports condition-based monitoring of motors in robotics, pumps, fans, wind turbines, and other systems.

Efficient, low-power vision AI microprocessors enable real-time inference at the edge for robotics, surveillance, and smart home devices.