Google DeepMind has released D4RT, a unified AI model for 4D scene reconstruction that runs 18 to 300 times faster than ...
Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of ...
[2025/11/03 16:31:26] ppocr INFO: train with paddle 2.6.1 and device Place(cpu) [2025/11/03 16:31:26] ppocr INFO: Initialize indexes of datasets:['./train_data/train ...
ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
DeepEP is a communication library designed for Mixture-of-Experts and expert parallelism, featuring high-throughput, low-latency GPU kernels. It supports low-precision operations and offers optimized ...
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 ...
Today, virtually every cutting-edge AI product and model uses a transformer architecture. Large language models (LLMs) such as GPT-4o, LLaMA, Gemini and Claude are all transformer-based, and other AI ...
Abstract: End-to-end automatic speech recognition (E2E-ASR) can be classified by its decoder architectures, such as connectionist temporal classification (CTC), recurrent neural network transducer ...