Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

This paper was accepted at the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2025 Non-negative Matrix Factorization (NMF) is a powerful technique for analyzing regularly-sampled data, i.e., data that can be stored in a matrix. For audio, this has led to numerous applications using time-frequency (TF) representations like the Short-Time …

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ML Observability: Bringing Transparency to Payments and Beyond

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By Tanya Tang, Andrew Mehrmann At Netflix, the importance of ML observability cannot be overstated. ML observability refers to the ability to monitor, understand, and gain insights into the performance and behavior of machine learning models in production. It involves tracking key metrics, detecting anomalies, diagnosing issues, and ensuring models are operating reliably and as intended. …

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Create a travel planning agentic workflow with Amazon Nova

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Traveling is enjoyable, but travel planning can be complex to navigate and a hassle. Travelers must book accommodations, plan activities, and arrange local transportation. All these decisions can feel overwhelming. Although travel professionals have long helped manage these complexities, recent breakthroughs in generative AI have made something entirely new possible—intelligent assistants that can understand natural …

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Google is a Leader and positioned furthest in vision in the 2025 Gartner® Magic Quadrant™ for Conversational AI Platforms

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Google has been named a Leader in the 2025 Gartner® Magic Quadrant™ for Conversational AI Platforms (CAIP) report, and positioned furthest in vision among all vendors evaluated. We believe this report marks a pivotal moment for enterprise leaders, signaling a market shift where having a strong vision is no longer an abstract concept but the …

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This simple magnetic trick could change quantum computing forever

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Researchers have unveiled a new quantum material that could make quantum computers much more stable by using magnetism to protect delicate qubits from environmental disturbances. Unlike traditional approaches that rely on rare spin-orbit interactions, this method uses magnetic interactions—common in many materials—to create robust topological excitations. Combined with a new computational tool for finding such …

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