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Super Hi-Fi Launches AI Music Scheduler Neuron


Super Hi-Fi
Super Hi-Fi

Super Hi-Fi has introduced Neuron, a new AI-powered music scheduling engine designed to align station programming with how listeners experience music.

The company said Neuron is built on neuroscience research into attention, reward and musical expectation, incorporating insights from organizations such as Spotify and the Max Planck Institute. The system aims to improve how stations select songs, manage rotations and maintain listener engagement over time.

Neuron builds on Super Hi-Fi's existing scheduling technology, which is already used across thousands of online stations and a growing number of FM broadcasters. The company said the new platform represents a reimagining of scheduling by focusing less on rigid rules and more on listener behavior.

According to CTO and Chief Scientist Brendon Cassidy, the platform is designed to replicate the instincts of experienced programmers while applying AI at scale. Neuron uses principles such as novelty, contrast and expectation to shape music flow, with the goal of avoiding listener fatigue from repetition and tune-out caused by inconsistent programming.

The system evaluates hundreds of song attributes-including genre, tempo, mood and lyrical content-to make context-aware decisions. It can automatically adapt to different station formats and adjust rotations, while also managing factors such as one-hit wonder exposure and artist balance.

A key feature, Adaptive Assist, acts as a support layer for programmers, adjusting schedules dynamically based on how much input is provided. The tool can follow detailed programming direction or step in to optimize schedules when guidance is limited.

Neuron also introduces WeatherAware, which adjusts music selection in real time based on local weather and time of day. By factoring in environmental conditions, the platform aims to create more relevant and responsive listening experiences without requiring manual changes from station staff.

Super Hi-Fi said the new system is designed to deliver a more consistent, engaging and automated approach to music scheduling as broadcasters continue shifting toward AI-driven and cloud-based workflows.

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