A Year Of Quiet Progress: How Tariffs And AI Shaped M&A In 2025 And What To Expect In The Year Ahead

As 2026 approaches, dealmakers face a dual challenge: balancing macro uncertainty with the transformative potential of the ...
IEEE

Enhanced Predictive Modeling for Anomaly Detection in Financial Transactions Using Machine Learning

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...
IEEE

Model Predictive Control for Adaptive Energy-Efficient Street Lighting: A Comprehensive Framework and Case Study

Abstract: This study tackles the challenge of optimizing light emitting diode (LED) street lighting to enhance energy efficiency without compromising safety and comfort in dynamic urban environments.
CNET

How Smart Do We Want AI to Be? World Models May Understand Things Better Than We Do

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

How can AI break down barriers in healthcare?

From personalised treatments to more efficient processes, artificial intelligence has the potential to advance more equitable preventative care worldwide ...

Individual pathways: how personalised care can improve patient outcomes

Healthcare is evolving from one-size-fits-all to personalised, data-driven care. How does this improve patient outcomes, reduce costs and empower individuals?
BMJ Open

Development and validation of a risk prediction model for chronic kidney disease among adult hypertensive patients having follow-up at University of Gondar Comprehensive ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...