IEEE

Solving Audio Inverse Problems with a Diffusion Model

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.
manilatimes

Messari Research: Bitget’s UEX Model Scales with $18B in Tokenized Stock Volume and 82% Institutional Participation

VICTORIA, Seychelles, Jan. 15, 2026 (GLOBE NEWSWIRE) -- Bitget, the world’s largest Universal Exchange (UEX), has been featured in a newly released Messari research report examining the platform’s ...
IEEE

Meta-Learning Inspired Single-Step Generative Model for Expensive Multitask Optimization Problems

Abstract: In expensive multitask optimization problems (ExMTOPs), multiple complex tasks must be optimized simultaneously under limited computational budgets. Existing approaches, often based on ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...