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Recently, the Speech Team of Qwen Laboratory has made a milestone achievement in the field of spatial audio generation and launched the OmniAudio technology. This technology can directly generate FOA (First-order Ambisonics) audio from 360-degree videos, bringing new possibilities to virtual reality and immersive entertainment. Spatial audio, as a technology that simulates real auditory environments, can enhance immersive experiences. However, existing technologies are mostly based on fixed perspective videos and underutilize the spatial information of 360-degree panoramic videos. Traditional video-to-audio generation

In the field of artificial intelligence, 3D vision and spatial understanding are becoming crucial for advancements in embodied AI, autonomous navigation, and virtual reality applications. In March 2025, Hangzhou Qunhe Technology announced the open-sourcing of its self-developed 3D vision large language model, SpatialLM, at the GTC2025 global conference, generating significant industry interest. This model, with its powerful spatial cognition capabilities and cost-effective data processing, offers revolutionary breakthroughs for robot training, architectural design, and AR/VR applications. AIbase is based on the latest information...

Hangzhou-based tech company, Qunhe Technology, has again garnered industry attention for its open-sourced spatial understanding model, SpatialLM, which was acknowledged by Google in a recent research paper. This model's innovation lies in its ability to enable robots to understand the geometrical relationships of the physical world through ordinary videos, marking a significant breakthrough in robot training. SpatialLM's core function is to convert videos captured by a phone into three-dimensional spatial layout information. Users simply need to record their home layout using their phone, and SpatialLM will...

The University of Science and Technology of China (USTC) recently announced a significant breakthrough. Professor Sun Cheng's research group and collaborators have successfully developed the "TIMES" scoring system for predicting liver cancer recurrence, and have translated it into a publicly available, free AI diagnostic tool. The findings were published in the international academic journal Nature on March 13th, Beijing time. Liver cancer, the third leading cause of cancer-related deaths globally, has a recurrence rate of up to 70% after surgical resection. Accurate prediction of liver cancer recurrence has long been a medical challenge. The spatial distribution of immune cells in the tumor microenvironment significantly impacts patient prognosis, but previously...

In this era of rapid advancement in artificial intelligence, how machines understand and "see" the world has remained a hot topic of research among scientists. Recently, a study published in the journal Nature Machine Intelligence has unveiled a novel approach—utilizing visual predictive coding to autonomously construct cognitive maps. This breakthrough is not only significant in the field of AI but also deepens our understanding of how machines simulate human visual perception. Within the brai