10/02/2024, 07:25 PM UTC
TDK研发的模拟AI技术可实时分离音乐、语音和噪音Robust analogue AI separates music, speech and noise
➀ TDK开发了一种用于模拟神经网络的自旋忆阻器，并构建了一个能够实时分离音乐、语音和噪音的网络。这项技术基于与CEA自2020年以来的合作，并使用东北大学兼容300mm的磁阻半导体原型生产线。➁ 这些忆阻器可控、电流泄漏低，且对电阻漂移具有鲁棒性，允许长期数据存储。➂ TDK和CEA实施了一种模拟算法，可以分离这三种声音，与传统的数字神经网络实现相比，这项技术的功耗显著更低。➀ TDK has developed a spin-memristor for analog neural networks and built a network that can separate music, speech, and noise in real-time. The technology is based on a collaboration with CEA since 2020 and uses a 300mm-compatible spintronics semiconductor prototyping line at Tohoku University. ➁ The memristors are controllable, have low current leakage, and are robust against resistance drift, allowing for long-term data storage. ➂ TDK and CEA have implemented an analog algorithm that can separate the three types of sound, and the technology has a significantly lower power consumption compared to conventional digital neural network implementations.
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