The Algorithmic Herd: When AI Minds Meet the Markets
New research reveals how artificial intelligence agents, powered by large language models, can introduce complex and often unpredictable dynamics into financial markets.
Science
Beyond the Algorithm: Addressing Racial Bias in AI Healthcare
New research explores how to minimize harmful disparities in medical AI by carefully selecting models and designing intelligent workflows.
Beyond the Algorithm: Addressing Racial Bias in AI Healthcare
New research highlights the critical need to mitigate racial bias within large language models used for medical diagnosis and treatment.
Taming the AI Wild West: A Guide to Agent Governance
As businesses increasingly deploy autonomous AI agents, a robust governance framework is crucial to manage the resulting complexity and risk.
Can AI Agents Beat the Market?
New research reveals that a system of collaborating AI agents can generate profitable stock recommendations, challenging the notion that AI-driven investment strategies are simply noise.
Beyond Size: Smarter Architectures for Financial Question Answering
New research shows that choosing the right AI architecture is more critical than simply increasing model size when tackling complex financial queries.
The Singularity Premium: Valuing AI in an Age of Existential Risk
![Government transfers mitigate the potentially destabilizing effects of rapid technological advancement, preventing market breakdowns caused by severe displacement and enabling substantial gains in household consumption even under conditions of explosive output growth; specifically, with parameters set at [latex]\alpha = 0.70[/latex], [latex]p = 0.5\%[/latex], [latex]\xi = 5\%[/latex], and [latex]\delta = 0.5[/latex], such transfers restore finite pricing in scenarios where unchecked displacement would otherwise invalidate market-clearing conditions.](https://arxiv.org/html/2604.16997v1/x2.png)
New research suggests that current stock valuations for AI companies are partially inflated by investor hedging against potentially catastrophic outcomes from advanced artificial intelligence.
Spotting Financial Fakes: A Multilingual AI Detects Misinformation
![MFMDQwen establishes an architecture for multimodal large language models, leveraging a unified approach to process and generate content across diverse modalities through a shared embedding space defined by [latex]Q(x)[/latex] and [latex]W(x)[/latex] transformations.](https://arxiv.org/html/2604.18272v1/x1.png)
Researchers have developed a new artificial intelligence model capable of identifying misleading financial information across multiple languages, tackling a growing global problem.
Can AI Learn to Trade Like a Pro?
New research shows that large language models, when properly trained, can make surprisingly effective financial decisions in simulated trading environments.
The AI Bubble: When Machines Mimic Market Madness
New research reveals that artificial intelligence trading systems, despite their algorithmic foundations, are susceptible to the same cognitive biases as human investors, potentially exacerbating market instability.