Flexible AI-MCU For Fast Inference of Transformer Models At The Ultra-Low-Power Edge (ETH Zurich, U. Bologna)


Researchers from ETH Zurich and University of Bologna have released “CHIMERA: A Flexible and Scalable 3.1 TOPS/W AI-MCU with Transformer Accelerator and 563 Gb/s Shared-L2 Memory Subsystem with QoS Guarantees”. Abstract “We present Chimera, a flexible and scalable Microcontroller Unit (MCU) designed to accelerate real-time inference of rapidly evolving transformer-based models a... » read more

Power And Sensing – Selection Guide 2026


The semiconductor industry is undergoing a transformation. This transformation is driven by the critical role semiconductors play in decarbonization and digitalization and their ability to enable innovation across fields at an unprecedented scale. Recent advancements in AI, autonomous driving, humanoid robots, and our increasingly connected lifestyles are just a few examples of the rapid change... » read more

Embedded World 2026: Bringing Edge AI Into The Real World


Embedded World 2026 made one thing clear: AI is no longer confined to the cloud—it’s moving decisively onto the device. Across our demos and conversations, a consistent theme emerged: intelligence is shifting closer to where data is created—into devices, environments, and the physical world. From smart homes to industrial systems and a wide range of emerging robotics applications, the ... » read more

The New Design Advantage: Why Unifying Processing And Connectivity Simplifies The Design Experience


Devices are becoming smarter, more capable, and more distributed, but the way we design them has not kept pace. For engineers, that progress increasingly brings tradeoffs: latency bottlenecks, rising power demands, and fragmented system architectures that complicate even well-understood designs. As functionality increases, so does the difficulty of fitting multiple analog and digital components... » read more

Environmental Sensors Catch More Data For A Greener World


Sensors to detect temperature, pressure, and gases, such as CO2, have been around for centuries. However, the latest devices can measure a growing list of substances and process the data in real-time. Likewise, single-use sensors to measure pH levels in water are well established, but the latest water sensors can be deployed all along the pipeline from source to processing to outlet or tap, sav... » 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

Energy-Aware DL: The Interplay Between NN Efficiency And Hardware Constraints (Imperial College London, Cambridge)


A new technical paper titled "Energy-Aware Deep Learning on Resource-Constrained Hardware" was published by researchers at Imperial College London and University of Cambridge. Abstract "The use of deep learning (DL) on Internet of Things (IoT) and mobile devices offers numerous advantages over cloud-based processing. However, such devices face substantial energy constraints to prolong batte... » read more

Can Chiplets Serve Cost-Conscious Apps?


Chiplets are emerging as a significant new phase in the evolution of the semiconductor market, providing a way to continue scaling performance well beyond the size limitations of a reticle. But that improvement comes with a high price tag and a lot more complexity, which so far has limited adoption. One of the main reasons for the cost increase is the need for advanced packaging when employi... » read more

Accelerating The Shift To Software-Defined Vehicles


The automotive E/E architecture is undergoing a significant transformation, driven by the vision of a software-defined vehicle (SDV). This shift is leading to a change from traditional distributed and domain-based architectures to more centralized and mixed domain-zone architectures. Central Electronic Control Units (ECUs) are now powered by sophisticated system-on-chips (SoCs) that combine com... » read more

Power And Sensing Selection Guide 2024-2025


This latest edition of the power & sensing selection guide compares our products’ key benefits and the latest power and sensing technology advancements to find what you need for your designs. Technologies covered include: MOSFETs, MCUs, power management ICs, wide-bandgap semiconductors, sensors, power switches, USB-C and more. Read more here. » read more

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