Build Secured And Cost Effective Next-Generation Actuator And Sensor Applications Based On The Latest E/E Architectures


Automotive E/E architectures have undergone remarkable changes in recent years influencing actuator and sensor applications such as body control (lights, windows, and mirrors, etc.), motor control such as engine pumps and fans, and sensor control. Traditionally, these applications have used small and low-cost 16-bit microcontrollers (MCUs) but now they need more advanced 16-bit MCUs. In this wh... » read more

In-Product BTI Aging Sensor For Reliability Screening And Early Detection Of Material At Risk


We have developed a new reliability monitoring suite, within a proprietary IP block that we call a CV Core, with aging sensors embedded in the product layout and testable through the product I / O interface. We illustrate the application of the sensor suite with an example of the PMOS NBTI monitor, testable at the wafer level during product electrical wafer sort (EWS), as well after packaging a... » read more

A New Approach For Sensor Design


Pawel Malinowski, program manager at imec, sat down with Semiconductor Engineering to discuss what's changing in sensor technology and why. What follows are excerpts of that discussion. SE: What's next for sensor technology? Malinowski: We are trying to find a new way of making image sensors because we want to get out of the limitations of silicon photodiodes. Silicon is a perfect materi... » read more

Overcoming The Challenges Of Capacitive Touch HMI Design


The capacitive touch human-machine interface (HMI) is a critical aspect of modern electronics. It is how we interact with our devices, making it an integral part of wearables, smart home products and IoT products. The primary goal of an HMI is to provide an intuitive and responsive interface that supports human interaction. However, designing a touch HMI system that meets the consumer's expecta... » read more

Research Bits: December 5


Neuromorphic nanowires Researchers from UCLA and University of Sydney built an experimental computing system physically modeled after the biological brain. The device is composed of a tangled-up network of wires containing silver and selenium that were allowed to self-organize into a network of entangled nanowires on top of an array of 16 electrodes. The nanowire network physically reconfigure... » read more

Research Bits: Nov. 28


Switchable photodetector and neuromorphic vision sensor Researchers from the Institute of Metal Research at the Chinese Academy of Sciences built a device that can be switched between being a photodetector and neuromorphic vision sensor by adjusting the operating voltage. The trench-bridged GaN/Ga2O3/GaN heterojunction array device exhibits volatile and non-volatile photocurrents at low and hi... » read more

Maximizing Edge Intelligence Requires More Than Computing


By Toshi Nishida, Avik W. Ghosh, Swaminathan Rajaraman, and Mircea Stan Commercial-off-the-shelf (COTS) components have enabled a commodity market for Wi-Fi-connected appliances, consumer products, infrastructure, manufacturing, vehicles, and wearables. However, the vast majority of connected systems today are deployed at the edge of the network, near the end user or end application, opening... » read more

Making Sensors More Reliable


Experts at the Table: Semiconductor Engineering sat down to talk about the latest issues in sensors with Prakash Madhvapathy, director of product marketing, Tensilica audio/voice DSPs group at Cadence; Kevin Hughes, senior product manager for MEMS sensors at Infineon; and Matthew Hogan, product management director at Siemens EDA. What follows are excerpts of that conversation. [L-R] Kevin ... » read more

Data Collection For Edge AI / Tiny ML With Sensors


Reality AI software from Renesas provides solution suites and tools for R&D engineers who build products and internal solutions using sensors. Working with accelerometers, vibration, sound, electrical (current/voltage/ capacitance), radar, RF, proprietary sensors, and other types of sensor data, Reality AI software identifies signatures of events and conditions, correlates changes in signat... » read more

Network-on-Chips Enabling Artificial Intelligence/Machine Learning Everywhere


Recently, I attended the AI HW Summit in Santa Clara and Autosens in Brussels. Artificial intelligence and machine learning (AI/ML) were critical themes for both events, albeit from different angles. While AI/ML as a buzzword is very popular these days in all its good and bad ways, in discussions with customers and prospects, it became clear that we need to be precise in defining what type of A... » read more

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