@article{zhang2025unified, title={Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities}, author={Zhang, Xinjie and Guo, Jintao and Zhao, Shanshan and Fu, ...

For the past three years, AI’s breakout moment has happened almost entirely through text. We type a prompt, get a response, and move to the next task. While this intuitive interaction style turned ...

Ray's innovative disaggregated hybrid parallelism significantly enhances multimodal AI training efficiency, achieving up to 1.37x throughput improvement and overcoming memory challenges. In a ...

In the early stages of AI adoption, enterprises primarily worked with narrow models trained on single data types—text, images or speech, but rarely all at once. That era is ending. Today’s leading AI ...

Modern multimodal AI models can recognize objects, describe scenes, and answer questions about images and short video clips, but they struggle with long-form and large-scale visual data, where ...

Artificial intelligence data annotation startup Encord, officially known as Cord Technologies Inc., wants to break down barriers to training multimodal AI models. To do that, it has just released what ...

ExecuTorch should make sure these models work out of the box by making sure export and runtime are just a click away. EarlyFusion is a type of fused model architecture where pretrained encoder(s) are ...

Artificial intelligence is evolving into a new phase that more closely resembles human perception and interaction with the world. Multimodal AI enables systems to process and generate information ...