all AI news
Researchers from UCL and Google Propose AudioSlots: A Slot-Centric Generative Model For Audio Domain Blind Source Separation
MarkTechPost www.marktechpost.com
The use of neural networks in architectures that operate on set-structured data and learn to map from unstructured inputs to set-structured output spaces has recently received much attention. Recent developments in object identification and unsupervised object discovery, especially in the vision domain, are supported by slot-centric or object-centric systems. These object-centric architectures are well suited […]
The post Researchers from UCL and Google Propose AudioSlots: A Slot-Centric Generative Model For Audio Domain Blind Source Separation appeared first on MarkTechPost.
ai shorts applications architectures artificial intelligence attention audio blind data discovery editors pick generative generative-ai google identification language model large language model learn machine learning map networks neural networks researchers set spaces staff structured data tech news technology unstructured unsupervised vision