Prediction markets are facing backlash over bets related to war, with Polymarket recently archiving some predictions on nuclear detonation.

Traders are moving beyond sports bets and elections to price "unpriceable" geopolitical and policy risks that standard ...

Python fits into quantitative and algorithmic trading education because it connects ideas with implementation. It removes ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Four top AI companies plan to spend $650 billion this year on the artificial intelligence build-out. Nebius Group has a market cap of only $21 billion and looks to be a good bet to outperform the rest ...

This is a simple jupyter notebook for stock price prediction. As a model I've used the linear, ridge and lasso model. Analysis, a development of insights and a training of a prediction model for ...

Lemonade uses AI and machine learning to build a better, cheaper insurance model. Its loss ratio has come down significantly. Management is projecting positive adjusted EBITDA this year. Lemonade was ...

AI chips are required to power AI tools, but those chips are useless without energy. AI data center provider IREN is one of the leaders that recently signed a lucrative deal with Microsoft. IREN's AI ...

Palantir (NASDAQ: PLTR) remains one of the most closely followed artificial intelligence stocks heading into 2026 as investor focus turns to the company’s commercial expansion and rising enterprise AI ...

Gestational diabetes mellitus (GDM), a prevalent metabolic disorder associated with pregnancy, which often postpones intervention until after metabolic complications have developed. This study seeks ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.