







Award-Winning software for DJs and Producers Mixed in Key Pro Wingman Captain Plugins Platinum Notes Pilot Plugins Mixed In Key Live Complete Collection Mixed In...
MPC Key 37 G2 | Akai Professional
MPC Key 37 G2 gives you everything you need to create music in a fully standalone workflow
LumaDeck — Live Visual Instrument for DJs
The live visual instrument for DJs and performers. Play the light.

Take a look inside Richie Hawtin's DJ setup | One of a Kind | Native Instruments
Salin - Full Performance (Live on KEXP)

MANIFEST AUDIO | Creative Tools for Ableton Live
Creative Max for Live devices, MIDI tools, effects, and racks for Ableton Live. Designed for creative producers, demanding performers, and intrepid sound explorers.

Jordan Rudess and MIT’s jam_bot: A New Era of Human-AI Musical Collaboration
As We May Think Credit: Mostafa 'Neo' Mohsenvand

HAIM: Human-AI Music Datasets for AI Music Production Tracking Benchmark
As generative platforms such as Suno and Udio reach human-grade audio quality, the scope of AI's utility has expanded across the entire music production workflow. Beyond simple track generation, these advancements have catalyzed the adoption of AI-driven methodologies in diverse forms. These include vocal synthesis, arrangement, and professional mastering. However, current detection research remains largely confined to a binary `AI-or-human' paradigm. It fails to reflect the realities of contemporary music production workflows. In real-world production, AI tools are increasingly used to refine or master human-produced tracks, and human engineers likewise post-process AI-generated material to ensure professional quality. Moreover, users often employ adversarial tactics to bypass AI detectors, such as applying human mastering to AI-generated tracks. This creates a grey area that a simple binary classification fails to capture. In this paper, we define and investigate ``AI Music Tracking'': the challenge of identifying specific AI integration across the multifaceted spectrum of music production. To this end, we introduce HAIM, a dataset with diverse labels for stages of music production. It is designed to isolate stages of AI intervention, including hybrid production and agent-level tracking. Our evaluation of state-of-the-art detectors reveals systemic flaws. By releasing HAIM, we propose a new benchmark that shifts the field beyond binary classification toward a granular, structured evaluation of AI music.

AI music tools challenge Bay Area musicians
AI music tools challenge Bay Area musicians: As affordable AI platforms spread, artists debate creativity, copyright and survival.

NOKIA 7250 | Liquid DnB / Jungle Mix
テクノウチ入門 黎明編・復活編・未来編 BEST SELECTION - DJ TECHNORCH and 九十九音夢
ChatGPT made me delusional
Teenage Engineering’s EP-136 KO Sidekick is part DJ mixer, part interface, part effects unit – and surprisingly affordable
The latest addition to the EP range could be the ideal accompaniment to a compact hardware setup
