Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

Listen, that whole chaotic mood swing—last week, or the one before, who even knows—was extreme. A tight Friday wrap that pulled a cosmic all-nighter, spilling ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Examining mistakes gives students a chance to discuss misconceptions openly and find new approaches to solving problems.

The U.S. housing market faces high rates and low supply, reshaping the economy and equities outlook. Learn why it’s bullish ...

Philip Ball dives into the challenges in developing quantum computing, and building up investments and users for the tech ...

Njoku, C. and Bonang, M. (2025) The Impact of Digital Transformation on Six Commercial Banks Performance in Botswana. Open Journal of Business and Management, 13, 3875-3893. doi: ...