As prediction markets like Kalshi and Polymarket offer more ways to bet on elections, war, the Oscars and more, their dangers are growing.

If you had walked onto a trading floor thirty years ago, you would have heard noise before you saw anything. Phones ringing, ...

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 ...

Finding stocks that can increase in value 5 times within five years is a lofty goal. That requires serious stock performance, and few companies can deliver that. To achieve 5 times returns in five ...

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.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...