MarkDown # Getting Started with TinyML: Playing with AI on Micro Devices Using Python Hello everyone! Today we are going to explore a super cool Python library – TinyML. In simple terms, TinyML is a magical tool that allows AI models to run on micro devices like smartwatches and sensors. Imagine your fitness band intelligently … Read more
This guide covers hardware selection, model optimization, toolchain operations, code implementation, and debugging techniques, using the STM32 series microcontrollers as an example: 1.Hardware Selection and Configuration (1)Clarify Requirements Computational Requirements: Simple classification tasks (e.g., binary classification of sensor data):Cortex-M0+/M3 (e.g., STM32G0/F1) are sufficient. Complex tasks (image recognition, speech processing): Choose models with hardware acceleration (e.g., … Read more
In the contemporary information technology system, embedded system interfaces serve as the core infrastructure for data exchange, forming the neural hub for device interconnection. Based on standardized communication protocols and interface specifications, the technical architecture enables efficient data exchange and intelligent collaborative operations among heterogeneous devices. This article selects the Analog-to-Digital Converter (ADC) interface as … Read more
01 Use Structures to Store Common Variables in AdvanceWhen writing preprocessing and postprocessing functions, certain variables, such as the shape of the model input tensor and count, are often used multiple times. If these values are recalculated in each processing function, it will increase the computational load during deployment. In such cases, consider using a … Read more
FBGEMM (Facebook General Matrix Multiplication) is a C++ library developed by Meta (Facebook) that is primarily used for low-precision, high-performance matrix multiplication and convolution operations in server-side inference. It is designed for small batch data and can significantly improve inference efficiency while supporting various techniques to reduce precision loss, such as row-wise quantization and outlier-aware … Read more
Step 1: First, apply for the device from Ascend, and obtain the Atlas 800 9000 server. Use the official account and password provided by Ascend to ensure you can log into the server. (1) Update the drivers, as the image provided by Ascend requires a specific version of the driver firmware. Download and install the … Read more