READING, PA — A Pennsylvania-based technology firm is aiming to simplify the increasingly complex world of live video production with the launch of a new 4K encoder/decoder designed to serve ...
This revised paper provides a valuable and novel neural network-based framework for parameterizing individual differences and predicting individual decision-making across task conditions. The methods ...
[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 ...
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 ...
Abstract: Video depth estimation has a wide range of applications, especially in the tasks of robot navigation and autonomous driving. RNN-based encoder-decoder architectures are the most commonly ...
NANJING, China—Magewell will showcase the latest addition to its Pro Convert product line and introduce a new family of Pro Convert devices during InfoComm 2025, June 11-13, at the Orange County ...
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 ...
New fully open source vision encoder OpenVision arrives to improve on OpenAI’s Clip, Google’s SigLIP
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more The University of California, Santa Cruz ...
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 ...
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