Today, the finances and resources spent on research and development in robotics and automation technology have seen an exponential increase. With advancements in technology, we have seen the adoption of robots across various sectors including industrial, manufacturing, consumer, and many more. The adoption of highly efficient robots will also help in addressing the skilled labor shortage in near future.

Connected technologies, advances in chip design, and AI at the edge are helping the healthcare industry in innovative ways. AI-enabled and 5G-driven Internet of Medical Things Devices (IoMT) backed by Qualcomm’s small-form-factor platforms – QCS8250 and QRB5165 – can do wonders for developing future-looking healthcare applications as these platforms support multiple camera streams, 5G, WiFi6, Bluetooth 5.1, and AI at the edge with heterogeneous low-power compute.

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

Retail giants are investing heavily into replacing the kiosks and information booths with interactive kiosks.

AI-enabled Internet of Autonomous Things (IoAT) devices including autonomous machines, vehicles, robots, and drones can think for themselves using capabilities like machine learning, computer vision, and self-governing navigation – thanks to hardware innovations. Let’s see how power-packed robotics-specific Qualcomm® QRB5165, eInfochips Edge Labs, and Aikri portfolio can be game-changers for developing these Autonomous Things (AuT) devices for a wide array of applications across industries – from manufacturing and logistics to retail and healthcare.

To keep up the pace with Moore’s law, manufacturing technology nodes keep decreasing so much

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

Many organizations may have a great concept for a product or a solution or an