A Chinese startup has unveiled a device for translating animal language
The Chinese startup Meng Xiaoyi has unveiled an AI-based technology that is reportedly capable of interpreting the sounds and behavior of pets. The developers claim that the system analyzes the animal’s emotional state and can “translate” it into human language with about 95% accuracy. The device is currently in the demonstration phase and is sparking lively discussion among users and experts.
This was reported by the industry publication Dexerto.
The gadget attaches to the animal’s neck and collects data on its voice, behavior, and reactions. After analysis, the system supposedly translates these signals into messages understandable to humans.
Meng Xiaoyi stated that the technology is based on Alibaba Cloud’s Qwen language model. The analysis uses so-called “voiceprints” of animals, as well as information about their anatomical and behavioral characteristics.
The device is already available for pre-order in China. According to the developers, users have pre-ordered over 10,000 units since early May. The device costs 799 yuan, or approximately $118.
Despite the company’s bold claims, Meng Xiaoyi has not yet released any scientific research or technical documentation to substantiate the system’s claimed accuracy. As a result, some users and experts have already expressed doubts about the technology’s actual capabilities.
At the same time, the startup has managed to raise about $1 million from early investors. However, this is more indicative of market interest in the idea itself than confirmation of the device’s effectiveness.
Incidentally, researchers at the Massachusetts Institute of Technology have developed a technology that allows ordinary smartphones with LiDAR sensors to “see” objects behind obstacles and even track their movement.
This involves a software algorithm that works with standard LiDAR sensors already installed in some premium smartphones.
Previously, such capabilities were available only in specialized laboratories with expensive equipment and complex laser systems. Typically, LiDAR detects objects by sending light pulses and measuring the time it takes for them to return after reflection.
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