In today’s hyper-connected world, businesses are becoming increasingly vulnerable to cyber threats. With the rising sophistication of cyberattacks, traditional security ...
Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.
Machine learning algorithms can predict which candidates are more likely to succeed in a given role by analyzing past hiring ...
Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...
Background: Machine learning (ML) has been investigated for its predictive value in knee osteoarthritis (KOA) progression. However, systematic evidence on the effectiveness of ML is still lacking, ...
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 ...