From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...

Senvol has received funding from the US Navy to lead a project focused on demonstrating that Senvol ML, the company’s machine ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...