India budget basics: If the calculations puzzle you, this is how the budget maths really works

Finance Minister Nirmala Sitharaman will present India's Union Budget 2026 in February. The budget's core is projecting ...
International Monetary Fund

How Ghana’s Central Bank is Helping the Economy Recover

From crypto to gold and beyond, Ghana’s central bank is playing a vital role in the country’s journey to macroeconomic ...

Is India's growth real? Making sense of IMF’s rating and GDP data issues

While the GDP data issues are not new, what’s new is the rating system by the IMF—started last year—that has brought to ...

UK budget: financial services sector reaction

Financial services sector reaction to the budget is predictably mixed but assuredly more considered than the majority of ...

American Century Short Duration Inflation Protection Bond Q3 2025 Commentary

After contracting in the first quarter, the U.S. economy rallied in the second quarter with a 3.8% annualized gain. Read more ...
IEEE

Real-Time Object Detection to Identify Adults and Children Using YOLO Algorithms

Abstract: Remotely piloted vehicles such as drones or mobile robots are equipped with a light Graphics Processing Unit (GPU) to perform image processing tasks with limited complexity level. Thus, such ...

What is the difference between GDP and GNP?

If you are confused by personal finance terms, jargon and calculations, here’s a series to simplify and deconstruct these for you. Learn key differences between GDP vs GNP and which better measures ...
Frontiers

Closing the gap between implementation science and policy in Nigeria: lessons from the Nigeria implementation science alliance using a nominal group technique

Introduction: Knowledge translation in healthcare has been of keen interest to researchers, practitioners, policymakers and administrators as it seeks to confront complex health issues within ...
IEEE

Predicting India’s GDP Growth Rate Using Machine Learning Methods

Abstract: This study focuses on predicting India’s GDP growth rate using various machine learning methods, including linear regression, random forest, K-nearest neighbors regression, gradient boosting ...