Abstract: This paper presents CQT-Diff, a data-driven generative audio model that can, once trained, be used for solving various different audio inverse problems in a problem-agnostic setting.

Abstract: Using diffusion models to solve inverse problems is a growing field of research. Current methods assume the degradation to be known and provide impressive results in terms of restoration ...

As AI models become more capable and more specialised, the question for users is no longer whether to use AI, but which AI to trust for a given task. Perplexity’s latest product update, called Model ...

All of the quality issues that my brand new Tesla Model 3 arrived with. Huge Thanks To AutoTempest For Sponsoring The Video! A detailed look at the build quality issues with my mid-range Tesla Model 3 ...

Policymakers should rethink the ‘relentless triage’ model of modern general practice as it is contributing to workforce problems, researchers have argued. In a new review of 190 studies, published on ...

Five years ago, mathematicians Dawei Chen and Quentin Gendron were trying to untangle a difficult area of algebraic geometry involving differentials, elements of calculus used to measure distance ...