Machine learning algorithms can predict which candidates are more likely to succeed in a given role by analyzing past hiring ...

Discover how machine learning, a vital aspect of artificial intelligence, learns from data to enhance decision-making and ...

Overview AI wearables in India are rapidly evolving from basic fitness trackers to intelligent personal assistants for health ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

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.

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 ...

Abstract: Spatio-temporal predictive learning plays a crucial role in self-supervised learning, with wide-ranging applications across a diverse range of fields. Previous approaches for temporal ...