The biggest AI bottleneck isn’t GPUs. It’s data resilience

Although there’s broad agreement that AI demands high-quality, well-governed data, the research indicates that AI inference ...
Open Heart

Severe aortic stenosis detection using seismocardiography

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
IEEE

Prediction of Imbalance Prices Through Gradient Boosting Algorithms: An Application to the Greek Balancing Market

An accurate prediction of imbalance prices is crucial for making well-informed decisions within short-term energy markets. This study proposes a two-stage probabilistic framework for the prediction of ...
Harvard Business Review

Why Your Company Needs a Chief Data, Analytics, and AI Officer

How is AI and data leadership at large organizations being transformed by the accelerating pace of AI adoption? Do these leaders’ mandates need to change? And should overseeing AI and data be viewed ...
Scientific Research Publishing

Alcolea, A. and Resano, J. (2021) FPGA Accelerator for Gradient Boosting Decision Trees. Electronics, 10, Article No. 314.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Frontiers

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...
Frontiers

Factors associated with the presence of anxiety and depression symptoms in rural hypertensive adults in Bangladesh: leveraging extreme gradient booster machine learning algorithm

Introduction: Anxiety and depression are common among hypertensive patients and can lead to significant health complications. This study aimed to use Extreme Gradient Boosting (XGB) machine learning ...