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: ...
\Demis Hassabis (DeepMind CEO) and other AI leaders sees the next big AI gains—and the path to AGI—will come from targeted algorithmic breakthroughs in areas like continual learning, memory ...
Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer Integrating artificial intelligence in cancer ...
Algorithmic trading provides a more systematic approach to active trading than one based on intuition or instinct. Learn how ...
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 ...
Scrutiny of algorithmic pricing models – particularly in sectors that rely heavily on data – is accelerating across federal and state enforcers, with California now banning the use of “common pricing ...
In today’s hyper-competitive retail landscape, pricing decisions can make or break profitability. Gone are the days when a simple "cost-plus" model could guarantee profitability. Consumers are more ...
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