InTDS ArchivebyMax Hilsdorf·Dec 24, 2024Mono to Stereo: How AI Is Breathing New Life into MusicApplications and Techniques for AI Mono-to-Stereo UpmixingA response icon6A response icon6
InTDS ArchivebyMax Hilsdorf·Dec 4, 2024What Teaching AI Taught me About Data Skills & PeopleThree key lessons from my journey as a corporate AI educatorA response icon14A response icon14
InTDS ArchivebyMax Hilsdorf·Aug 5, 2024Images that Sound: Creating Stunning Audiovisual Art with AIA new AI blends technology and art to challenge our understanding of intelligence and creativity.A response icon10A response icon10
InTDS ArchivebyMax Hilsdorf·May 22, 20243 Practical Tips to Combat Data Scarcity in Music AIGet more out of your music data
InTDS ArchivebyMax Hilsdorf·Feb 28, 2024How Google Used Your Data to Improve their Music AIMusicLM fine-tuned on user preferencesA response icon1A response icon1
InTDS ArchivebyMax Hilsdorf·Feb 6, 2024How AI Can Remove Imperceptible WatermarksExploring the Vulnerabilities in Detecting AI-Generated MediaA response icon3A response icon3
InTDS ArchivebyMax Hilsdorf·Dec 30, 20233 Music AI Breakthroughs to Expect in 20242024 could be the tipping point of Music AIA response icon15A response icon15
InTDS ArchivebyMax Hilsdorf·Nov 21, 2023MusicGen Reimagined: Meta’s Under-the-Radar Advances in AI MusicExploring the overlooked but remarkable progress of MusicGenA response icon10A response icon10
InTDS ArchivebyMax Hilsdorf·Sep 21, 2023AI Music Source Separation: How it Works and Why It Is So HardSource Separation AI, explainedA response icon3A response icon3
InTDS ArchivebyMax Hilsdorf·Aug 22, 2023The Future of Music Discovery: Search vs. GenerationFunctional music in the age of AIA response icon4A response icon4