Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical code examples for real-world applicati ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding?

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...

New capabilities for agentic document processing include advanced data extraction, validation and looping features. UiPath said these capabilities integrate with its Agents framework to automate the ...

These computers run off human neurons. Their developers believe they are the future of artificial intelligence.

Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting radiology reports, including volumetric assessments, are conventionally stored ...

Researchers from the Yunnan Observatories of the Chinese Academy of Sciences (CAS) have unveiled a neural network-based automated method for identifying heartbeat stars—a rare type of binary star ...

University of Arizona researchers have demonstrated that multiphoton microscopy (MPM), combined with machine learning and deep learning techniques, can accurately distinguish pancreatic neuroendocrine ...

A team of researchers at the University of Miami has developed a global atmospheric modeling framework that blends powerful research capabilities with accessibility for students and scientists alike.

Author: Zhang Qi, Senior Vice President of Microsoft Global and President of Microsoft AI Asia Pacific. Today, we officially launch Office Agent — a multi-agent system built on ...

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...