Understanding what drains energy is a game-changer, whether you're a developer crafting the next IoT breakthrough, fine-tuning an embedded system, or simply interested in gauging the power efficiency of your devices.
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With a groundbreaking open-source architecture, RISC-V is paving the way for a new era of computing technology. In this article, we’ll delve into RISC-V’s evolution, its underlying principles and technical aspects, as well as its limitations and future prospects.
Born in the ‘80s, the CAN bus helps in carrying reliable electronic communication within your vehicles. This article delves into the basic principles, architecture, protocols, applications, and limitations of the CAN bus.
Audio event detection functions can listen for distinct sounds or patterns embedded within an audio stream. It uses advanced signal processing and machine learning algorithms to accurately identify and classify sound events in real-time, with no internet connectivity required.
Sensor fusion enables the seamless integration of data from multiple sensors, paving the way for advanced Edge AI implementations that optimize real-time processing, enhance decision-making, and boost system responsiveness in dynamic environments.
A Comprehensive Introduction to Flying Probe Test, its Essential Components, Advantages, Limitations, and Application Cases
In the rapidly evolving landscape of IoT, battery life is paramount for device sustainability. We dissect the challenges and strategies for battery longevity of LPWAN IoT devices. Explore battery profiling and optimization for extended device life and reduced costs.
FPGAs are reconfigurable hardware used for parallel, high-speed processing, while microcontrollers are fixed-architecture chips designed for sequential, control-oriented tasks. FPGAs offer flexibility and performance MCUs provide low power, ease of use, and cost-efficiency.
Low-power computer vision provides a new opportunity to gain a practical understanding of the world through data collection and vision in remote areas.
In the ever-evolving world of processor architectures, the showdown between RISC-V and ARM sparks fervent competition. With their distinct histories, these two giants are redefining computing power and igniting discussions on openness, customization, and innovation in microprocessors.
Article #4 of Spotlight on Innovations in Edge Computing and Machine Learning: Discover the integration of TinyML and wearable tech as we delve into a project that detects falls in real-time, potentially saving lives in our aging population.
Article #3 of Spotlight on Innovations in Edge Computing and Machine Learning: A computer vision system that detects and localizes the surface cracks in concrete structures for predictive maintenance.
16 minutes read
Article 6 of Bringing Intelligence to the Edge Series: The utilization of edge AI facilitates advanced system optimization, predictive maintenance, and improved anomaly detection, greatly advancing technological capabilities across varied fields.
Article 5 of Bringing Intelligence to the Edge Series: Integrating voice user interface technology into microcontroller units for offline, edge-based voice recognition is set to redefine the landscape of home automation and smart industrial applications.
Article 4 of Bringing Intelligence to the Edge Series: AI is proving to be a more precise and time-efficient tool in processing the big data crunch by recognizing patterns and noticing inconsistencies in real-time.
