• This is an MCU-based vision AI module powered by Arm Cortex-M55 and Ethos-U55, supporting TensorFlow and PyTorch frameworks.
• It has a standard CSI interface, onboard digital microphone, and SD card slot.
• Compatible with XIAO series, Arduino, Raspberry Pi, and ESP dev board.
• Supports off-the-shelf and custom AI models from SenseCraft AI, including Mobilenet V1, V2, Efficientnet-lite, Yolo v5 & v8.
• Can be used for industrial automation, smart cities, transportation, smart agriculture, and mobile IoT devices.
This article explains why Convolutional Neural Networks (CNN) are useful for function identification in reverse engineering, and provides a Python implementation using PyTorch to identify the start of functions in binaries.
efficient method for fine-tuning LLM using LoRA and QLoRA, making it possible to train them even on consumer hardware
Scikit-learn — the go-to library for machine learning offering a user friendly, consistent interface.
Pycaret — lowering the entry point for machine learning with low code, automated and end to end solutions.
PyTorch — build and deploy powerful, scalable neural networks with its highly flexible architecture.
TensorFlow — one of the most mature deep learning libraries, highly flexible and suited to a wide range of applications.
Keras — TensorFlow made simple.
FastAI — makes deep learning more accessible with a high-level API built on top of PyTorch.
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