TL;DR NILUT uses neural representations for controllable photorealistic image enhancement. 🚀 Demo Tutorial and pretrained models available. Try it on colab! 3D lookup tables (3D LUTs) are a key ...

Digital circuit is a promising approach to implement computing-in-memory (CIM) architecture for data-intensive applications, such as neural network inference. Previous digital CIM implementations have ...

As large language model (LLM) inference demands ever-greater resources, there is a rapid growing trend of using low-bit weights to shrink memory usage and boost inference efficiency. However, these ...

The deployment of Large Language Models (LLMs) on edge devices is increasingly important to enhance on-device intelligence. Weight quantization is crucial for reducing the memory footprint of LLMs on ...

Synthetic data generation is an increasingly valuable skill. As AI systems require more training data, as privacy constraints limit access to real data, and as simulation becomes central to testing ...