Trusted Sensor Technology For The Internet Of Things


“Data is the new oil” — Clive Humby, 2006 While this prediction relates to the value that can be generated from data, the focus here is on the tools at the oil well. Just as oil drilling platforms are expected to reliably produce crude oil around the clock, sensors are expected to reliably and continuously deliver high-quality data. But sensors have long since evolved from simple me... » read more

Edge AI And Chiplets


In the near future, more edge artificial intelligence (AI) solutions will find their way into our lives. This will be especially true in the private sector for applications in the field of voice input and analysis of camera data, which will become well-established. These application areas require powerful AI hardware to be able to process the corresponding continuously accumulating data volumes... » read more

Predictive Health Monitoring In Functional Safety


Functional safety first became a major issue for the semiconductor industry in 2011 with the introduction of the ISO 26262 standard for implementing functional safety in the automotive industry. Before that, functional safety had already been standardized in a general manner for all industries since the end of the 1990s in IEC 61508. However, in the field of industrial automation, where the IEC... » read more

Microelectronics For Quantum Technologies


By Kay-Uwe Giering and Andy Heinig The transition of the quantum mechanics realm into engineering applications is opening up a large number of disruptive quantum technological opportunities. Their success relies on the recent technological advancements, which enable the controlled creation of individual quantum mechanical systems as well as their direct manipulation and measurement. Quantum ... » read more

The Reliability Of Analog Integrated Circuits And Their Simulation-Aided Verification


Different challenges have to be overcome when designing integrated circuits. Besides schematic and layout design work, verification in view of the non-ideal behavior of circuits and semiconductor technologies in particular is also relevant. The designed circuits have to work at specific operating voltages and within ambient temperature ranges and be robust in terms of process fluctuations ... » read more

Active Learning: Integrating Natural Intelligence Into Artificial Intelligence


Today, very few people would likely deny the fact that data can present major added value for companies. But analyzing data from production processes reveals the incompleteness of data collection and the associated reduced potential of the data that can be leveraged. Typical shortcomings include: Incomplete representation of processes in the dataspace, Inadequate connection of processes... » read more

Chiplets: Current Status


Recent weeks have seen a number of interesting developments in the area of chiplets. An increasing number of products based on chiplets have been brought to market, especially in the processors segment. For example, Apple and AMD now have processors with chiplets on the market and under production in high volumes. On one hand, this means that sufficient production capacity has now been built up... » read more

How Do I Come To Trust An Electronic Component?


Can I trust all of the electronic systems in my vehicle, for example if I’m driving my car at a high speed on the highway or in city traffic at a confusing intersection? Will all of the vehicle’s sensors work as they should and correctly recognize all of the possible dangers around me? In modern vehicles and complex industrial plants today, a number of sensors and many electronic compone... » read more

Virtual Testing Of Automotive Sensor Systems


The development of vehicles has always been a discipline of mechanical engineering. After all, cars were always about the engine, the power, the efficiency. Traditionally, the development of the complex overall automotive system has always been carried out in accordance with classical principles of mechanical engineering, for example by using development models like the V-model. Although the pr... » read more

Enhancing Datasets For Artificial Intelligence Through Model-Based Methods


By Dirk Mayer and Ulf Wetzker Industrial plants and processes are now digitized and networked, and AI can be used to evaluate the data generated by those facilities to increase productivity and quality. Machine learning (ML) methods can be applied to: Product quality classification in complex production processes. Condition monitoring of technical systems, which is used, for examp... » read more

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