Nota AI

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Proposes a simple next-frame prediction task using unlabeled video to enhance single-image encoders. Injects 3D geometric and temporal priors into image-based models without requiring optical flow or object tracking. Outperforms state-of-the-art self-supervised methods like DoRA

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. This study proposes an AI model preprocessing method for improved quantization accuracies on edge AI devices which do not support advanced quantization methods due to their limitations. By splitting layers based on parameter clustering, the

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Delivers real-time AI performance on edge devices such as smartphones, IoT devices, and embedded systems. Introduces a novel “Reuse Attention” technique that minimizes redundant computations in Multi-Head Attention. Achieves competitive accuracy and significant inference speed