It's Monday, and my mood is a bit dampened after spilling coffee from my favorite mug next to my keyboard this morning. But as I was frantically wiping down my desk, my eyes caught a technical article ...

Sharing Updatable Models (SUM) on Blockchain is a framework to host and train publicly available machine learning models. Ideally, using a model to get a prediction is free. Adding data consists of ...

Abstract: With the rapid growth of network cyber threats, there exists a growing need for advanced, scalable and highly accurate mechanisms for threat detection. AI based threat detection system is ...

Sepsis is a global health threat that has a high incidence and mortality rate. Early prediction of sepsis onset can drive effective interventions and improve patients’ outcome. Data were collected ...

Lung cancer is an important global health problem, and it is defined by abnormal growth of the cells in the tissues of the lung, mostly leading to significant morbidity and mortality. Its timely ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Concrete is one of the most commonly used materials in construction engineering, and its compressive strength is an important reference index for structural design and construction. As a multiphase ...

Machine learning (ML) algorithms are now widely used across the IT infrastructures of forward-thinking companies and academic institutions. In an effort to optimize computing resource costs and ...

Background: Linear dimensionality reduction techniques are widely used in many applications. The goal of dimensionality reduction is to eliminate the noise of data and extract the main features of ...

Abstract: Most of the machine learning models have associated hyper-parameters along with their parameters. While the algorithm gives the solution for parameters, its utility for model performance is ...