When you step inside your electric car and switch it on, the cluster displays the distance you can go. You choose your pit brakes based on this range to reach your goal, but have you ever wondered how your car determines how far it can go?

DFM is an innovative and unique approach to a product development lifecycle. It is implemented

Artificial Intelligence (AI) and Natural Language Processing (NLP) enablement in consumer devices are fueling the

Coverage is traditionally used as a confidence-building metric and the quality of verification is measured based on it. Coverage works as a safety net to ensure that the design is verified thoroughly and keeps track of the progress of the verification process. While verifying a complex SoC (System on Chip) or IP (Intellectual Property), we invest most of our time in other verification phases like planning, development, and debugging. We generally struggle to close on coverage numbers. The purpose of this article is to highlight some hidden but useful coverage commands supported by the Cadence IMC tool that can help to ease and speed up the coverage closure.

Introduction Analog-centric and digital-centric simulations are two different types of mixed-signal simulations. The real challenges

The days of charging your electrical gadgets through cables and cords have passed. It’s been more than a century since wireless charging technology became popular. The magnetic resonant coupling, invented by Tesla, permits the energy to be sent over the air via two circuits ̶ a transmitter and a receiver. This technique was not used in the real world for about a hundred years. However, there are numerous wireless charging methods available today that reduce the need for cords on everything from mobile phones to wearable smart gadgets, laptops, household appliances, and automobiles.

The global spread of Coronavirus has significantly disrupted many industries across the world. Though many

This blog describes practical guidelines for High-Speed embedded hardware designers to enhance technical skills further

The need for edge AI has evolved due to challenges in centralized cloud-based architecture and