Neural DSPs new TINA robot uses machine-learning to model amps with unparalleled precision [Video]

How far have we as a society come as far as amp modelling is concerned? Not far enough apparently, if Neural DSP‘s latest innovation is any indication.

The company today announces TINA, a groundbreaking proprietary data-collection robot that promises to revolutionise the precision and authenticity of guitar amplifier modelling.

• READ MORE: Dave Navarro says it was “painful” to play guitar after Taylor Hawkins died

The spaces between an amplifier’s controls — such as gain, bass, mid, treble, presence, and master — contain a vast array of complex interactions and sonic distinctions. Guitarists adjust these controls instinctively, but digitally emulating this process is challenging. Snapshot models can’t capture all the fine-tuned combinations, making it impossible to manage the millions of potential settings accurately.

Here’s where TINA, or a Telemetric Inductive Nodal Actuator, comes in. It robotically accesses the entire spectrum of every control’s range by physically connecting with those controls via actuator arms. Every control is systematically turned with its …