A new framework, TermGPT, addresses the challenges of ambiguous and sparse data in legal and financial texts to improve large language models’ understanding of specialized vocabulary.
A new approach leverages principles of kinematics to refine neural network predictions, aiming for more stable and accurate long-term stock market forecasts.
A new decision support system leverages artificial intelligence to forecast content virality and market growth with unprecedented accuracy.
A new wave of research combines machine learning with game theory to build more realistic models of strategic interaction, moving beyond assumptions of perfect rationality.
New research suggests that the rise of generative AI is undermining the value of written applications, creating challenges for employers and workers alike.
New research explores how generative AI is poised to transform emergency response, enabling faster, more adaptable, and intelligent automated systems.
A new review explores the foundations of automated negotiation, from game theory to crafting intelligent agents capable of reaching mutually beneficial agreements.
New research reveals that algorithmic advice can subtly influence strategic decisions, potentially leading to unexpected coordination among competitors.
A new approach combines the reasoning power of artificial intelligence with time-series analysis to generate more accurate and explainable stock forecasts.
A new machine learning framework identifies misclassified plastic waste shipments by detecting unusual price-volume patterns, offering a powerful tool for regulatory agencies.