New Issues In Power Semiconductors


The number of challenges is growing in power semiconductors, just as it is in traditional chips. Thermal dissipation and gradients, new design rules, and layout issues need to be considered, especially in the context of higher voltage and increased performance demands. Roland Jancke, design methodology head in Fraunhofer IIS’ Engineering of Adaptive Systems Division, talks about issues in int... » read more

AI Tradeoffs At The Edge


AI is impacting almost every application area imaginable, but increasingly it is moving from the data center to the edge, where larger amounts of data need to be processed much more quickly than in the past. This has set off a scramble for massive improvements in performance much closer to the source of data, but with a familiar set of caveats — it must use very little power, be affordable... » read more

An Empirical Comparison Of Optimizers For Quantum Machine Learning With SPSA-Based Gradients


Variational quantum algorithms (VQAs) have attracted a lot of attention from the quantum computing community for the last few years. Their hybrid quantum-classical nature with relatively shallow quantum circuits makes them a promising platform for demonstrating the capabilities of noisy intermediate scale quantum (NISQ) devices. Although the classical machine learning community focuses on gradi... » read more

Why There Are Still No Commercial 3D-ICs


Building chips in three dimensions is drawing increased attention and investment, but so far there have been no announcements about commercial 3D-IC chips. There are some fundamental problems that must be overcome and new tools that need to be developed. In contrast, the semiconductor industry is becoming fairly comfortable with 2.5D integration, where individual dies are assembled on some k... » read more

Dramatic Changes Ahead For Chips And Systems


Early this year, most people had never heard of generative AI. Now the entire world is racing to capitalize on it, and that's just the beginning. New markets, such as spatial computing, quantum computing, 6G, smart infrastructure, sustainability, and many more are accelerating the need to process more data faster, more efficiently, and with much more domain specificity. Compared to the days ... » read more

SAP: A Secure Low-Latency Protocol for Mitigating High Computation Overhead in WI-FI Networks


The increase in popularity of wireless networks in industrial, embedded, medical and public sectors has made them an appealing attack surface for attackers who exploit the vulnerabilities in network protocols to launch attacks such as Evil Twin, Man-in-the-middle, sniffing, etc., which may result in economic and non-economic losses. To protect wireless networks against such attacks, IEEE 802.11... » read more

Using Real Workloads To Assess Thermal Impacts


Thermal analysis is being driven much further left in the design, fueled by demand for increased transistor density and more features on a chip or in a package, as well as the unique ways the various components may be exercised or stressed. However, getting a clear picture of the thermal activity in advanced-node chips and packages is extremely complex, and it can vary significantly by use c... » read more

Requirements For The Efficient Implementation Of AI Solutions On Edge Devices


By André Schneider, Olaf Enge-Rosenblatt, and Björn Zeugmann In recent years, there has been a growing tendency to implement data-driven approaches for the continuous monitoring of industrial plants as part of digitalization and Industry 4.0 initiatives. The hope is to detect critical conditions at an early stage, minimize maintenance and downtimes, and continuously achieve high product qu... » read more

Flipping Processor Design On Its Head


AI is changing processor design in fundamental ways, combining customized processing elements for specific AI workloads with more traditional processors for other tasks. But the tradeoffs are increasingly confusing, complex, and challenging to manage. For example, workloads can change faster than the time it takes to churn out customized designs. In addition, the AI-specific processes may ex... » read more

Damage Detection For Reliable Microelectronics


Over the past few years, the reliability and safety of electronic systems have become increasingly more important. Ongoing digitalization has made these systems an integral part of many items of daily use. This means that failures are becoming more and more critical as they can cause considerable disruption – even when they occur in consumer electronics. Today, electronics are also indispensa... » read more

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