A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and ...

Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to ...

How AI and machine learning can enhance Kubernetes security. Learn about eBPF, IDS, and automated threat responses. Secure ...

Abstract: Random forest is effective and accurate in making predictions for classification and regression problems, which constitute the majority of machine learning applications or systems nowadays.

Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing ...

This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for ...

Jefferson Lab scientists have wrapped up three research projects that demonstrate ways in which artificial intelligence (AI) and machine learning (ML) could be used to make SRF particle ...

Azure ML also supports managed identities, enabling secure access to other Azure resources without storing credentials in code. And to support compliance and auditing requirements, Azure Machine ...