Author's Latest Posts


Ensuring Trustworthiness of AI-Enhanced Embedded Systems


Artificial Intelligence (AI) is unlocking new capabilities in safety-critical systems, from enhanced motor control to autonomous driving. However, integrating AI safely remains a significant challenge due to its data-driven nature and operation in open and real-world variability. While established standards such as ISO 26262 and ISO 21448 provide a foundation for functional safety and intended ... » read more

Wi-Fi 7 for IoT


Introduced in 2024, Wi Fi 7 delivers numerous PHY and MAC layer enhancements for high performance networking, including 320 MHz channels, 4096 QAM modulation, and up to eight spatial streams (8×8 MIMO). While these capabilities are important for access points and high throughput clients, they are less relevant to IoT devices, which typically operate at low data rates with small payloads, const... » read more

Topology Selection For Bidirectional Energy Flow Applications Using WBG Devices


The paper provides an overview of the topology for bidirectional converters and discusses their different usage. Bidirectional energy flow applications are usually found in energy storage systems, battery systems, and can be categorized as grid-connected and DC-DC-connected. In grid-connected applications, two power conversion stages, which are power factor corrector (PFC) rectifier/inverter an... » read more

The Future of Powering AI


We are at the dawn of the next technological revolution. A revolution driven by Artificial Intelligence (AI) and accelerating at an unprecedented speed. At the end of 2022, with the launch of ChatGPT, our world changed significantly; within two months, it gained 100 million active users. AI not only has the potential to transform every area of life, be it financial services, digital assistants,... » read more

Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains


Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by their constrained computational resources and low power requirements, presents unique challenges and opportunities. As the digital world continues to generate increasingly complex and high-volume da... » read more

Countering Security Threats Of Quantum Attacks With PSOC Control Microcontrollers


Quantum computers of appropriate power are expected to break traditional public-key encryption such as ECC and RSA. Quantum computers that will be able to mount attacks on public-key cryptography are commonly referred to as 'Cryptographically Relevant Quantum Computers’ (CRQCs). Betting on the future existence of CRQCs, attackers may also harvest encrypted data today and to decrypt it later o... » read more

Meeting The Design Requirements For Bi-Directional On-Board Charging (OBC)


As the automotive industry shifts from internal combustion engines (ICE), powered by fossil fuel, to electric drivetrains, consumers must adapt their approach to 'fueling' their vehicles. In fact, there is no longer any requirement to use dedicated fueling stations. Instead, plug-in hybrid and battery electric vehicles (xEV) can be charged either at home, at the office, or while shopping using ... » read more

RRAM: Transforming Memory Solutions For AI-driven IoT Devices And Embedded Systems


Artificial Intelligence (AI) and Machine Learning (ML) applications are driving increased demand for high-performance, low-power memory solutions across consumer, medical, and industrial markets. These applications require efficient, Non-Volatile Memory (NVM) to process, store, and retain large volumes of data, as well as support frequent Firmware Over-The-Air (FOTA) updates. In the consumer... » read more

GaN-on-Si Technology Powers The Future Of Wireless


Mobile data traffic continues to grow. Constant video streaming is on the rise in applications like TikTok, Netflix, and Instagram, while emerging AI-enhanced mobile apps are set to further boost data consumption by offering highly personalized experiences and advanced features like augmented reality and voice processing in real-time. Ericsson estimates that mobile data traffic, excluding fixed... » read more

Next Level Inductive Sensing For New Metallic, Waterproof And Robust HMI Touch Designs


The need for advanced and improved human machine interfaces (HMIs) is increasing due to increasing digitalization trends including Industry 4.0, the Internet of Things (IoT), the Artificial Intelligence of Things (AIoT), and more. At the same time, product designers use various HMI touch technologies to improve and differentiate their designs from competitors. Liquid tolerance and sleek metalli... » read more

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