Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...

Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Enterprises are still "underwater" when it comes to the fight against cyber fraud. Despite major investments and a renewed ...

This could mean leadership is thrust onto the shoulders of an employee, such as a fleet manager, due to their specialist ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being ...

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because ...

Abstract: Federated learning, as a distributed machine learning paradigm, can effectively protect data privacy and reduce data transmission costs, which makes it widely applicable in fields that ...

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...

"That's when we came into procedurally generated content, using AI and machine learning to some extent, even in the content creation pipelines, to what types of tools we build. A lot of these tools we ...