Science

A new analysis reveals that designing effective markets for autonomous agents demands more than simply mirroring human economic principles.

A new dataset and comparative analysis reveals the difficulties of accurately forecasting agricultural commodity prices in a dynamic, developing market.

Researchers have created a unique resource to help artificial intelligence better understand the nuances of financial language and reasoning, moving beyond simple sentiment to capture true market understanding.

A new benchmark reveals the challenges large language models face when applied to complex, real-world financial modeling tasks requiring extended reasoning.

Researchers are developing more effective methods to identify AI-generated videos by focusing on the subtle artifacts left behind in the forgery process.

A new study reveals that the biggest obstacle to AI replicating human-level economics research isn’t technical skill, but the ability to formulate original ideas.

A new approach leverages neural networks to optimize battery energy storage strategies, enhancing implicit balancing and maximizing revenue in dynamic power systems.

Researchers have developed a new automated framework that significantly improves the effectiveness of attacks designed to reveal whether a specific data point was used to train a large vision-language model.

A new framework uses artificial intelligence to dynamically tailor insurance questionnaires, promising more accurate risk profiles and a better user experience.

This research introduces a novel reinforcement learning framework for optimizing speculative trading strategies in dynamic markets.