In this paper, we first propose a novel Multi-Task learning framework for Relation Extraction ... The experimental results demonstrate that our model improves the predictive performance substantially ...

The fundamental idea is to train a multi-task model, such that when an unseen task is introduced, it can learn in fewer steps whilst offering a performance at least as good as conventional single task ...

Researchers at the Icahn School of Medicine at Mount Sinai have developed a machine learning tool that can help doctors ...

China has made significant advancements in Artificial Intelligence (AI) in recent years, and one of the most notable ...

Confused by ChatGPT’s models? Here’s a detailed, user-tested guide comparing GPT-4o, GPT-4.1, GPT-4.5, and more — plus ...

We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases that we use in our articles.

When it comes to agentic AI, there’s something timely about rethinking what we mean by intelligence in our learning systems.

The frontier of AI is rapidly advancing, but among the public and even in the enterprise, an understanding of its ...

By building stronger reasoning skills in AI systems, new approaches to data for training and testing will open a door to the ...

In the modern digital era, quantum computing is poised to revolutionize industries by solving problems that classical ...

Workshop on Risk and Robust Markov Decision Processes and Reinforcement Learning ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...