Researchers have developed an advanced deep learning model capable of more accurately predicting the path and intensity of tropical cyclones worldwide, along with quantifying the associated uncertainties.
A novel composite index, the Gondauri Index, provides a diagnostic framework for assessing and benchmarking macro-financial stability across nations.
Researchers have developed a framework leveraging artificial intelligence and blockchain technology to create a fully automated and secure system for managing and trading wireless spectrum.
New research reveals that transformer networks offer a significant advantage over traditional methods in detecting subtle anomalies in machine sounds, paving the way for more effective predictive maintenance.
![A model iteratively maps price trajectories, estimating the probability distribution of returns using a single realization-demonstrated with Netflix stock (NFLX) data from July 2022 to July 2023-to reveal the evolution of price and its corresponding probability density function [latex] \hat{\rho}\left(r^{\left(k\right)}\right) [/latex].](https://arxiv.org/html/2604.12197v1/fig1.png)
New research reveals how financial factors aren’t pre-defined, but emerge dynamically from the interconnectedness of assets.
New research offers a robust method for pinpointing periods of irrational exuberance in the age of artificial intelligence.
A new deep learning framework leverages the power of attention mechanisms to more accurately forecast equipment failure and remaining useful life.
Researchers have developed a novel method for accurately predicting short-term brain activity using fMRI data, offering improved insights into neural dynamics.
New research examines the impact of large-scale investment on the accuracy and fairness of prediction markets, revealing potential benefits alongside uneven distribution of gains.
Researchers propose a proactive approach to AI safety, shifting focus from reactive testing to identifying inherent risks within an AI’s reasoning structure.