Santiago Renteria is a computer scientist and audio engineer working at the intersection of artificial intelligence and biology. As part of his masters he developed a “Shazam” for birdsong based on siamese neural networks, a few-shot machine learning technique capable of recognizing birds’ complex melodic sequences. Beyond machine learning one of his main interests is to develop and understand non-human forms of intelligence through artistic experimentation. In his practice, he plays with different media such as virtual reality, immersive audio and biosignal sensors. Currently he is part of WATS, an interdisciplinary initiative generating projects at the interface of art, technology, and science. Furthermore, his work as a creative developer has been showcased at Laboratorio de Arte Alameda, Centro Cultural Universitario Tlatelolco, Carnaval de Bahidorá and Tecnológico de Monterrey. Santiago pictures a future in which the breakthroughs of cognitive science, art and artificial intelligence drive new interfaces extending human perception, learning and creativity.