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Neural Proxies for Sound Synthesizers: Learning Perceptually Informed Preset Representations

arXiv:2509.07635v1 Announce Type: cross Abstract: Deep learning appears as an appealing solution for Automatic Synthesizer Programming (ASP), which aims to assist musicians and sound designers in programming sound synthesizers. However, integrating software synthesizers into training pipelines is challenging due to their potential non-differentiability. This work tackles this challenge by introducing a method to approximate arbitrary synthesizers. Specifically, we train a …

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AI agents are here, now comes the hard part for CISOs

AI agents are being deployed inside enterprises today to handle tasks across security operations. This shift creates new opportunities for security teams but also introduces new risks. Google Cloud’s new report, The ROI of AI 2025, shows that 52% of organizations using generative AI have moved to agentic AI. These agents are more than chatbots. They can make decisions, execute …

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