In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.

Abstract: The number of smartphone users from year to year is increasing. Competition between smartphone vendors is getting fiercer to survive in the industry. Nokia and HTC are some cases where ...

behavior and use this model to produce forecasts.

Abstract: Electric Vehicles (EVs) provide substantial benefits from an environmental perspective but pose a challenge to power grids due to capacity limitations. Impactful deployment and coordination ...

Although stocks are the premier long-term wealth creator, they don't move from Point A to B in a straight line. Investors are leaning on margin at an extraordinary rate -- and that's historically bad ...

Anthropic has launched a beta integration that connects its fast-growing Claude Code programming agent directly into Slack, allowing software engineers to delegate coding tasks without leaving the ...

ABSTRACT: Accurate forecasting of diesel prices is essential for Malaysia, where transportation, agriculture, and industry are highly dependent on this fuel. This study investigates the effectiveness ...

We refine the GDELT event database with careful cleaning and parsing to curate a series of relational prediction tasks with varying forecasting horizons, assessing LLM agents’ abilities from ...

A new report out today from cybersecurity company INKY Technology Corp. is sounding the alarm over a new wave of phishing threats that use QR codes in increasingly dangerous and deceptive ways, ...