Researchers have developed a novel framework that uses synthetically generated data to dramatically improve the efficiency and accuracy of fact-checking financial statements and claims.
New research explores how reputation systems can foster reliable data exchange and fair pricing in manufacturing industries.
Researchers have developed a novel system that uses genetic algorithms to automatically identify and propose optimal multi-player fantasy football trades, moving beyond simple player-for-player swaps.
A new wave of research is moving beyond what neural networks do, to reveal how they actually compute, offering unprecedented insight into the workings of AI.
A new study demonstrates that a refined deep learning model can reliably identify manipulated facial images with high precision.
A new approach to portfolio optimization leverages reinforcement learning to maximize financial goals within defined timeframes, even in turbulent market conditions.
As AI image generation advances, distinguishing between authentic and synthetic satellite imagery is becoming increasingly critical.
New research demonstrates that carefully crafted, slope-based manipulations can effectively deceive machine learning models used in financial time-series forecasting.
New research reveals that advanced retrieval methods, including refined search and reranking techniques, significantly improve the accuracy of large language models when applied to complex financial document question answering.
A new review examines whether foundation models, initially underwhelming in finance, can gain predictive power with targeted financial data training.