Oracle Is Burning Cash in the Pursuit of "Hypergrowth." Is the AI Growth Stock a Buy Anyway?

Oracle stock hit an all-time high last September after announcing a detailed roadmap for exponential artificial intelligence ...

Oracle Is Soaring After Blowout Earnings. 3 Reasons to Buy the Stock (and 1 Reason to Avoid It).

Oracle landed more contracts and guided for massive growth in its upcoming fiscal year. The company understands that its cash ...

Oracle’s Quarterly Results And What They Indicate About Enterprise AI Spending

Oracle reported third-quarter revenue of approximately $17.2 billion in early March, a 22% increase year-over-year. The company's remaining performance obligations — contracted future revenue not yet ...
IEEE

Persistent Monitoring of Multiple Moving Targets Using High Order Control Barrier Functions

Abstract: This letter considers the problem of persistently monitoring a set of moving targets using a team of aerial vehicles. Each agent in the network is assumed equipped with a camera with limited ...
Investopedia

Comprehensive Guide to Aggregate Functions: Definition and Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Oracle Earnings Heated Up Its Stock—But Couldn't Spark an AI Rally

Shares of Oracle and chipmakers rose on Wednesday after a strong earnings report signaled AI demand remains healthy, but ...

How Oracle's Earnings Impacts Its 2026 Forecast

Discover how Oracle's earnings report could influence its full-year 2026 guidance and long-term growth strategy. Read more here.
eWeek

GPT-5.4 Clicks, Types, and Probably Outperforms You

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature ...
IEEE

Influence-Balanced XGBoost: Improving XGBoost for Imbalanced Data Using Influence Functions

Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...