染敏太陽能、RAVE深度學習、雷射投影

這個實驗探索了人工智慧在光學音像藝術裝置中的應用。一個半透明的染料敏化太陽能電池（DSSC）玻璃作為光感測器，將接收到的雷射投影圖像轉換為聲音，並使用預訓練好的 RAVE 變分自編碼器（Real-time Audio Variational autoEncoder），將接收到的光頻率實時轉換為更具編曲藝術性的輸出。這項實驗預計將更進一步的探索雷射投影內容與 半透明光電極圖案之間的關聯性，以及這些互動關係與人工智慧模型彼此之間的關聯性。

DSSC, RAVE, laser projection

This experiment explores the application of artificial intelligence in optical audiovisual art installations. A translucent dye-sensitized solar cell (DSSC) glass acts as a light sensor, converting the received laser projection images into sound. Using a pre-trained RAVE variational autoencoder (Real-time Audio Variational AutoEncoder), the light frequencies are transformed in real time into a more artistically composed output. The experiment aims to further explore the relationship between the laser projection content and the patterns of the translucent photoelectrode, as well as the interactions between these elements and the artificial intelligence models.