Moving Intelligence Closer to the Sensor Edge (IBM Research)


A researcher from IBM Research - Europe published “Emerging Trends in Intelligent Sensing”. Abstract “The rapid proliferation of artificial intelligence, connected devices, and high speed mobile networks is driving unprecedented computational demands that challenge traditional sensor architectures. This article explores the shift toward edge computing, where computation is perfor... » read more

The Rise Of Scalable AI SoCs For The IoT Device Edge


The landscape of computing is undergoing a profound transformation, with Artificial Intelligence (AI) at its forefront. This shift is particularly evident at the device edge, where traditional System-on-Chip (SoCs) implementations are being reimagined to effectively support demanding AI and machine learning (ML) workloads. This evolution necessitates the development of a new class of AI-capa... » 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

ADAS/AD: Why An External Safety MCU Remains A Cornerstone For Safety Alongside SoC Safety Islands


Advanced driver-assistance systems (ADAS) and autonomous driving (AD) technologies are revolutionizing mobility, making vehicles smarter, safer, and increasingly autonomous. At the heart of these advancements are sophisticated computing architectures built on system-on-chips (SoCs) that manage complex tasks like perception, decision-making, and control. Many SoCs integrate a "Safety Island"—a... » read more

In-SRAM Computing Architecture Tailored For Cryptographic Acceleration Within MCUs (UC Riverside)


A new technical paper titled "CryptoSRAM: Enabling High-Throughput Cryptography on MCUs via In-SRAM Computing" was published by researchers at University of California, Riverside. Abstract "Secure communication is a critical requirement for Internet of Things (IoT) devices, which are often based on Microcontroller Units (MCUs). Current cryptographic solutions, which rely on software librari... » read more

Multimodal AI For IoT Devices Requires A New Class Of MCU


The rise of AI-driven IoT devices is pushing the limits of today’s microcontroller unit (MCU) landscape. While AI-powered perception applications—such as voice, facial recognition, object detection, and gesture control—are becoming essential in everything from smart home devices to industrial automation, the hardware available to support them is not keeping pace. The challenge? The broad ... » read more

Changes In Motor Control


Motors are changing in fundamental ways, and you can actually hear the difference. Vacuums, air conditioners, and home appliances are getting quieter. They're also becoming more efficient, able to last longer on a single battery charge or drawing less energy from the grid, and they're becoming more secure. Steve Tateosian, senior vice president for Infineon's IoT, Compute & Wireless Busines... » read more

From DIY To Advanced NoC Solutions: The Future Of MCU Design


The evolution of microcontrollers (MCUs) has significantly transformed embedded systems, shifting from simple, standalone processors to complex, multifunctional units that rival traditional systems-on-chip (SoCs). These advancements are fueled by the demand for increased computational efficiency, cutting-edge features like AI and machine learning (ML) integration, and the need to address growin... » read more

In-Depth Study of Low-Power MCUs For Wearables (EPFL)


A new technical paper titled "Enabling Efficient Wearables: An Analysis of Low-Power Microcontrollers for Biomedical Applications" was published by researchers at EPFL. Abstract "Breakthroughs in ultra-low-power chip technology are transforming biomedical wearables, making it possible to monitor patients in real time with devices operating on mere {\mu}W. Although many studies have examined... » read more

Exploring Machine Learning Enabled Microcontrollers As An Alternative To Linux-Based MPUs


In today’s rapidly evolving technology landscape, the distinction between microcontrollers (MCUs) and micro processors (MPUs) is blurring with the introduction of high-performance Arm Cortex M processors. A compelling proposition emerges when a highly integrated device, PSOC™ Edge MCU, combines the power of the Cortex®M55 with advanced graphic peripherals, DSP Helium, and a neural net... » read more

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