This is an instance-based self-adaptive scale fusion implementation built on PyTorch. In ./model/adaptiveScaleFusion.py, hybrid weights are assigned across two instance scales, and the method has been ...

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

MuleSoft is a tool that helps developers piece this puzzle together, making data flow smoothly between applications. If you’re a developer in the UK looking to get a handle on how this works, this ...

Neoadjuvant chemotherapy (NAC) is a cornerstone of breast cancer management, and accurate prediction of therapeutic efficacy is essential for optimizing treatment strategies and improving patient ...

In 2019, as a newly minted co-teaching pair, we stumbled upon game-based learning (GBL). The value of GBL was immediately obvious to us. We have since acquired expertise in GBL, serious games, and ...

Corrected: This story has been updated to more accurately describe how Mansfield Elementary’s test scores compare to those of other schools in Connecticut. When the doors to Mansfield Elementary ...

This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples closely ...

Abstract: Instance reduction is an essential pre-processing step in instance-based learning. As dataset sizes continue to expand, computational complexity and memory demands increase significantly.

Forbes contributors publish independent expert analyses and insights. Jean Eddy is the Executive Chair of American Student Assistance. In this third and final article on the report, we’ll highlight ...

Challenge-based learning is a form of collaborative and project-based learning in which students band together to help solve a local or national problem in a way that furthers their learning.

Recognizing a tooth-marked tongue has important clinical diagnostic value in traditional Chinese medicine. Current deep learning methods for tooth mark detection require extensive manual labeling and ...