BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

The latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating ...

This paper concerned with the network observer based adaptive trajectory tracking control strategy of Unmanned Surface Vehicle with event-triggered mechanisms and signal quantization. In expound upon ...

In this letter, we introduce a novel blind equalization algorithm based on the convolutional neural network (CNN), to improve the bit error rate (BER) performan ...

semantic-quantization/ ├── 📄 README.md # You are here ├── 📊 demo/ │ ├── interactive_demo.html # Web-based visualization │ ├── demo.py # Python demo script │ └── examples/ # Example notebooks ├── 🧮 ...

This volume 2 topic aims to address these ongoing challenges while exploring new horizons for neural network-based algorithms in robotics. We seek contributions that propose novel neural network ...

This work introduces SPlus, a new optimizer for neural network training. We developed SPlus from an fundamentally empirical and experimental point of view -- the goal was to make a practical optimizer ...