Power And Sensing Selection Guide 2024-2025


This latest edition of the power & sensing selection guide compares our products’ key benefits and the latest power and sensing technology advancements to find what you need for your designs. Technologies covered include: MOSFETs, MCUs, power management ICs, wide-bandgap semiconductors, sensors, power switches, USB-C and more. Read more here. » read more

Ghostbusting With Simulation: Solving Engineering Challenges In Automotive Radar Development


Probably the biggest trick to the adoption of full autonomy in the automotive space is learning how to safely achieve a level of perception that matches that of a human driver. Carmakers are rising to the challenge with a combination of advanced camera, radar, and lidar sensing technologies, machine learning, and artificial intelligence that makes self-driving possible. This includes the adva... » read more

Aftermarket Sensors Boost Yield In Wafer Fabs


Third-party sensors are being added into fab equipment to help boost yield and to extend the life of expensive tools, supplementing the sensors that come with equipment used in fabs. The data gleaned from those sensors has broad uses within the fab. It can measure process module performance, identify defect sources, and alert fabs of impending equipment failure. And when coupled with machine... » read more

Green ICT: The IoT World Also Needs Ecological Awareness


By Volkhard Beyer and Dirk Mayer Microelectronics support the fight against climate change and for a better environment; for example, by intelligently controlling drive units, ensuring optimal operation of energy systems, and monitoring the resource requirements of production processes. Unfortunately, however, the ICT sector itself is one of the fastest-growing emitters of greenhouse gase... » read more

Advancements In Silicon Device Technology And Design Driving New SLM Monitor Categories


Silicon, the foundation of modern electronics, has seen continuous advancements since the early days of integrated circuits. The pace of innovation has been driven by the relentless quest for miniaturization, increased performance, and efficiency. However, Moore’s Law is no longer a given and silicon is facing functional limitations as technology scales. To address these challenges and conti... » read more

Paving The Way For Sustainable AI


Real-time requirements and the need for power-efficiency, security and privacy drives AI-processing at the edge. Key benefits of Edge AI include: -Low latency and real-time response -High power efficiency -Improved security and data privacy -Reduced cost A complementary set of AI-specific products and solutions, an end-to-end ML platform as well as an extensive application kno... » read more

Navigating Complexity And Enhancing Security In Advanced Automotive Systems


As the automotive industry advances towards higher levels of Advanced Driver Assistance Systems (ADAS), the complexity of vehicles is growing at an unprecedented rate. Modern vehicles are equipped with an increasing array of ADAS sensors, sophisticated algorithms, powerful processors, advanced in-vehicle networks, and millions of lines of software code. These components are crucial for processi... » read more

Photonics Could Reduce The Cost Of Lidar


Using light to move data over shorter distances is becoming more common, both because there is much more data to move around and because photons are faster and cooler than electrons. Using optical fiber for mission-critical communication is already well established. It has been the preferred PHY for long-haul communications for decades because it doesn’t suffer from the attenuation losses ... » read more

Sensor Requirements For Developing Robust Environment Perception Systems


In recent years, sensor systems for environment perception have become increasingly important – whether for adaptive robotics, automated driving, industrial process and quality control, or condition monitoring. The aim is always to detect and interpret certain environmental characteristics. In doing so, it’s important to choose not only the right algorithm but also the right sensor or senso... » read more

Validation Of Smart Sensors For AI-Based Condition Monitoring In Industry


By André Schneider and Martin Lehmann Industry has challenging requirements for the quality and reliability of the distributed smart sensors used in condition monitoring. As a result of digitalization and the increasing use of AI-based monitoring solutions, we can expect an increase in demand for systematic, efficient design and validation processes. In the future, a product’s journey fro... » read more

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