Science

This research investigates the potential of deep learning techniques to identify and profit from temporary mispricings within the Polish equities market.

A new study explores how combining the strengths of deep learning and traditional machine learning can refine stock market forecasts.

A new framework is emerging that moves beyond traditional algorithmic trading to create fully autonomous, language-driven agents capable of navigating complex financial markets.

New research demonstrates how artificial intelligence can analyze prediction markets to uncover relationships between different contracts, potentially leading to better forecasts and trading strategies.

A new analysis of on-chain transactions reveals the surprisingly isolated nature of NFT phishing attacks and how they exploit complex interactions across multiple blockchain protocols.

Researchers have developed a new method to evaluate whether large language models can convincingly fabricate information when presented with visual cues.

A novel framework leverages knowledge markets to dramatically reduce communication costs in federated learning, enabling more efficient and effective AI collaboration.

A new study dissects the capabilities of AI-powered research agents, revealing key limitations in their ability to synthesize information and conduct genuine inquiry.

New research reveals that while AI agents are adept at gathering cryptocurrency data, they fall short when it comes to the complex reasoning needed for expert-level financial analysis.

New research leverages AI to predict moves not by calculating the best play, but by modeling the behavioral patterns of players at different skill levels.