Thank you very much for your work！ When I use iic/emotion2vec_plus_base to extract emotion2vec embeddings, the following error occurs: Warning, miss key in ckpt ...

Introduction: Anterior cruciate ligament (ACL) injuries hold significant clinical importance, making the development of accurate and efficient diagnostic tools essential. Deep learning has emerged as ...

This repository provides a step-by-step implementation of the Transformer architecture from scratch using PyTorch. The Transformer model, introduced in the seminal paper "Attention is All You Need," ...

I've been transcoding videos on handbrake using AV1 which I think is the latest encoder. AV1 on the Mac is often incredibly efficient. I'm talking 3gb -> 300mb efficient. Even tougher material with ...

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...

The MHSAttResDU-Net incorporates RCC for complexity control and improved generalization under varying lighting. The SSRP unit in encoder-decoder blocks reduces feature map dimensions, capturing key ...

1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...

The new Nvidia GeForce RTX 50 Series GPUs feature up to three encoders for 4:2:2 video and FP4 for ramped up AI performance, plus new AI tools for livestreaming, DLSS 4 to boost 3D rendering, NVIDIA ...

Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, necessitating ...

NVIDIA's TensorRT-LLM now supports encoder-decoder models with in-flight batching, offering optimized inference for AI applications. Discover the enhancements for generative AI on NVIDIA GPUs. NVIDIA ...