Oracle's "Halo Effect" Is the Real Deal. But is the AI Growth Stock a Buy in March?

Demand for training artificial intelligence (AI) models on OCI benefits Oracle's application software-as-a-service (SaaS) ...

Oracle Just Posted Its Best Quarter in 15 Years -- Here's Why 2026 Could Get Even Better

Oracle is behind the AI demand curve, but this could spell accelerating growth and significant upside for investors.
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 ...
HR Executive

Oracle beats expectations and stays quiet on job cut speculation

Oracle's Q3 earnings showed 15% HCM growth and 1,000-plus AI agents live in applications, but no word on the rumored layoffs.

Oracle Allocates Extra $500 Million to Cover Restructuring Costs

The additional spend covers redundancy packages and other exit costs as increasingly powerful AI models allow the company to cut software jobs.
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: The Bullish Reset And Long-Awaited Turning Point Is Finally Here

Oracle Corporation is rated a Buy due to robust execution, margin inflection, and high potential cloud growth opportunity.
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 ...