This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...

Sara Fish’s research focuses on topics at the intersection of economics and artificial intelligence. Join her at BKC as she shares emerging research on Large Language Models (LLMs), and their promises ...

Algorithmic trading is also referred as black-box trading, automated trading, or algo-trading. It is a method that uses a computer program that follows a defined set of instructions or an algorithm to ...

Stanford research says the AI race is shifting beyond compute-heavy mega-models, as efficient open-source and task-specific ...

In a transformative move that has captured the attention of the financial world, DivitaeAssets, a leading algorithmic trading company founded by Michal Król, ...