Enabling BLE Devices and Gateways with FPGAs
Bluetooth Low Energy (BLE) has quietly become one of the most widely used technologies for wirelessly connecting devices and many companies…
Bluetooth Low Energy (BLE) has quietly become one of the most widely used technologies for wirelessly connecting devices and many companies…
Predictive maintenance is a key component of the Industrial Internet of Things (IIoT), shifting from reactive fixes and fixed schedules to proactive…
The Industrial Internet of Things (IIoT), through distributed systems, autonomous control, and real-time intelligence, has transformed…
Autonomous vehicles rely on high-quality data annotation to train AI/ML models for safe and intelligent driving. This blog explores how sensor data…
This blog explores key strategies for designing ultra-low-power thermostats, focusing on both hardware and firmware optimization. It covers…
The automotive sector is transforming into a connected and intelligent ecosystem. Vehicle-to-Infrastructure (V2I) technology enables…
Digital health solutions have emerged as a crucial element in the medical industry. Telehealth systems are not just for handling…
The drive for real-time intelligence at the edge is revolutionizing device design and deployment in today’s quickly changing embedded environment….
AI has completely redefined how we perceive and interact with the world. Many industries have leveraged AI to overhaul their…
Modern vehicles are equipped with complex connected systems, and their failure could cause fatal safety issues. These systems need to be developed and validated based on a structured ASIL framework to define risks and hazards based on key factors such as severity, exposure, and controllability.
FPGA products are no longer just about getting the RTL right. Building a production-ready FPGA platform...
Android has evolved beyond an operating system into a foundation for building connected, intelligent...
Today’s consumer products respond after something has happened. Your wearable tells you your heart rate is elevated.…
AI inference workloads are becoming more compute-intensive, with higher demands...