Omni, a fully omnimodal AI model with strong benchmark results, multilingual support, and new audio-visual coding ...

AI uses text to converse on mental health aspects. We are moving to multimodal interactions. Fusion is crucial. Especially ...

This sets unrealistic expectations for AI and leads to misuse. It also slows progress toward building new AI applications.

Alibaba Group has released the new generation of its large language model that can understand text, audio, images and video. But this time, the Chinese tech giant is releasing the model, Qwen3.5-Omni, ...

Sponsored by Meshy. Unlock the fastest path from idea to 3D model with Meshy AI 5! In this Blue Lighting tutorial, we walk ...

Even in teaching materials and trusted sources, images are not neutral. Here, Alexius Chia explains how to guide learners ...

Abstract: The Internet of Things (IoT) ecosystem generates vast amounts of multimodal data from heterogeneous sources such as sensors, cameras, and microphones. As edge intelligence continues to ...

Abstract: The design of effective multimodal feature fusion strategies is the key task for multimodal learning, which often requires huge computational costs with extensive expertise. In this paper, ...

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...

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 ...

Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The ...