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Explore a wide range of free and certified Medical devices online courses. Find the best Medical devices training programs and enhance your skills today!
Explore hyperdimensional computing optimization for edge devices, reducing model size and energy consumption while maintaining accuracy in lightweight machine learning applications.
Explore hls4ml, an open-source workflow for implementing machine learning algorithms on FPGAs and ASICs, enabling real-time processing for scientific applications and accelerating discoveries.
Explore the growing impact of tinyML devices in everyday life, from always-on voice in phones to environmental sensing in machines, and learn about the market's rapid expansion and technological requirements.
Explore oral tongue lesion detection using TinyML on embedded devices for early cancer screening, supporting physicians in remote healthcare settings with limited specialized resources.
Explore Intel's journey in integrating sensing technologies into personal computing devices, from Sandy Bridge to 11th Gen chipsets, enhancing user experiences and device capabilities.
Explore data-driven AIoT applications, model reduction techniques, and meta-learning approaches for enhanced inference accuracy in diverse environments, with real-life examples and future research directions.
Explore Arm's Ethos-U micro-NPUs for efficient AI processing on edge devices, enabling new applications and capabilities in embedded systems through advanced Machine Learning solutions.
Explore novel CNN design for resource-limited devices using "network within network" paradigm. Learn automated method for compressing neural networks while preserving accuracy and meeting size constraints.
Explore multilingual speech recognition on low-power devices, covering model optimization techniques, neural network compression, and practical demonstrations for efficient implementation.
Explore ultra-low-power command recognition for ubiquitous devices, covering noise challenges, system goals, core functions, training, and implementation on tiny hardware.
Explore advanced medical image segmentation techniques, including AutoML and deep learning, for improved disease understanding and clinical diagnosis.
Explore building smarter, compact devices using the MAX32660 microcontroller. Learn about power efficiency, pin assignments, and development tools for creating innovative, size-constrained solutions.
Secure legacy devices, add cybersecurity, and integrate operational data into modern IIoT infrastructure using edge programmable industrial controllers for digital transformation initiatives.
Learn to share USB devices over IP using a Raspberry Pi, enabling remote access and flexible device placement. Ideal for VM configurations, centralized device management, and improved wireless coverage for USB peripherals.
Learn to interface with I2C devices like compasses, EEPROMs, and RTCs. Covers I2C basics, code implementation, and datasheet interpretation for Arduino projects.
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