ImageNet Classification with Deep Convolutional Neural Networks
A deep convolutional network demonstrated how data, GPU computation and learned representations could transform visual recognition.
THE RESEARCH ATLAS
Qwen3.5-Omni Technical Report
The report explores an omni-modal model family and training over heterogeneous visual, textual and audio data.
Institution and location sources
Location refers to credited institutions or the listed organization, not author citizenship or an exhaustive collaboration list.
Why read this
A recent industrial entry point into unified multimodal systems; consult the original report for evaluation details.
Citation
@misc{team2026qwen3,
title = {Qwen3.5-Omni Technical Report},
author = {Qwen Team},
year = {2026},
eprint = {2604.15804},
archivePrefix = {arXiv},
primaryClass = {cs.CL},
url = {https://arxiv.org/abs/2604.15804}
}Rights remain with the original authors. Refer to the original source for citations and licensing.
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