Since tools like ChatGPT burst into higher education, debate has focused on two extremes: either students are all committing underhanded academic fraud and plagiarism or Artificial Intelligence will ...

Apology emails arrived, and the viral picture showed a glaring symptom of AI use: almost every email began with the exact same phrase: “I sincerely apologize.” In a recorded video of the lecture, ...

Abstract: In this paper, a new Meta-Particle Swarm Federated (Meta-PSF) model is proposed. The model combines Meta-Reinforcement Learning (Meta-RL), Particle Swarm Optimization (PSO), and Federated ...

This repository includes the implementation and experimental data of 'DeepCOI: a Large Language Model-Driven Framework for Fast and Accurate Taxonomic Assignment in Animal Metabarcoding'. Please cite ...

With the purpose to organize methodologies found in (recent) papers focusing on the development of genomic breed/population assignment tools, this review proposes to highlight good practice for the ...

Background: The effectiveness of different large language models (LLM) in extracting important information from CT angiography (CTA) radiology reports is unknown. Purpose: The Coronary Artery ...

Generating versatile and high-quality text embeddings across various tasks is a significant challenge in natural language processing (NLP). Current embedding models, despite advancements, often ...

Cyril Amarchand Mangaldas (CAM) advised Indian Banks’ Association (“IBA”) with the preparation of the revised draft of the model Assignment Agreement for transfer / assignment of financial assets by ...

ABSTRACT: This study aims to extend a theoretical model of cultural intelligence (CQ) and social support to examine cross-cultural adjustment and expatriate performance based on social learning and ...

Abstract: In response to the modeling difficulties and low search efficiency of traditional weapon-target assignment algorithms, this paper proposes a deep reinforcement learning-based intelligent ...