Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

Researchers at National Taiwan University have developed an AI system that recognizes construction activities at both the ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Abstract: Classifying metals is an essential task in all industries to make sure the materials used in the processes are safe and meet the required standards all while enhancing operational and cost ...

The left side of the flowchart illustrates the process of constructing spatial structure units, while the right side shows the process of building the coupling model using ensemble learning. The ...

The City of Plymouth is the first in Minnesota to help monitor tree health with data using artificial technology. Leaf by leaf, Conor Nolan, who's a navigator for Greehill Smart Tree Inventories, ...

This repository contains the full codebase developed at Helmholtz Munich for the CytoDiff project. The goal is to improve white blood cell image classification by augmenting real-world datasets with ...