That’s right, Ginzburg and Purgas’ new album — entitled Blossoms — is focused entirely on “ideas of evolution and adaptation, bringing together Emptyset’s body of exploratory sound production with emerging methods of machine learning through neural networks and raw audio synthesis.”
The machine learning system for Blossoms was developed through extensive audio training, a process of seeding a software model with a sonic knowledge base of material to learn and predict from. This was supplied from a collection of their existing material as well as 10 hours of improvised recordings using wood, metal and drum skins. This collection of electronic and acoustic sounds formed unexpected outcomes as the system sought out coherence from within this vastly diverse source material, attempting to form a logic from within the contradictions of the sonic data set. The system demonstrates obscure mechanisms of relational reasoning and pattern recognition, finding correlations and connections between seemingly unrelated sounds and manifesting an emergent non-human musicality.
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Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.