“Constructed around skipping and CD glitch textures Deep Learning’s ‘Evergreen’ dances like sunbeams through a prism..."

- Bandcamp, New & Notable

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Evergreen is the third full-length album from DEEP LEARNING, the solo project of UK-based Australian composer Richard Pike (of PVT/Pivot and Forgiveness), his first DEEP LEARNING release since Dataverse in 2018. Inspired by regular walks in Epping Forest with his five-year-old son, and constructed around skipping and CD glitch textures, the album explores themes of repetition, stasis, regeneration, and rebirth. With this raw digital material, pointillist plastic softsynths, guitar and voice, Pike reaches a new summit in his development as a sound artist.

Literally made by taking a screwdriver to self-recorded CD-Rs, the album explores multi-layered micro/macro polyrhythms, inspired by experimental pioneers of CD glitch Markus Popp, Yasunao Tone and Tim Hecker, as well as the emotive directions and dovetailed precision of the American Minimalists. Using the glitches as a base layer to guide the compositions, Pike builds hypnotic, fluid worlds of sound from their scattered clicks and hiccuping grooves, a meditation on the “holding patterns” of daily existence during the time the album was made. During this time, Pike fostered a daily practice of new musical explorations, and Evergreen became a statement of inner and outer worlds, of connection to family and the physics of music.
 

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