From LLMs to hallucinations, here’s a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
TMCnet

When Harvard Meets Bairong: How a Chinese Company is Reshaping the Future of Organizations with 200,000 "Silicon-Based Employees"

Following its previous inclusions in Harvard Business School case studies, Bairong is now entering global frontier ...
IEEE

Pre-training and Fine-turning Multi-task Learning Model: An Effective Method for Mongolian Morphological Tagging

Mongolian1 morphological label is the abstract description of Mongolian word morphology, and morphological tagging is an essential pre-processing step for Mongolian natural language processing. The ...
Tech Xplore

Robots with different bodies can now share skills: What intention-based learning changes

Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry ...
IEEE

GATGrasp: Learning Task-Aware Affordance Grasp for Robotic Tool Usage With Knowledge Graph Attention Mechanism

Abstract: Robotic tool usage still falls short in fine-grained task execution, specifically, learning how to select tools and determine configurations, achieving task compatibility, and enhancing ...