A new set of artificial intelligence models could make protein sequencing even more powerful for better understanding cell biology and diseases.

In the digital age, the recovery of deleted data is a key challenge in digital forensics. With the constant increase in data ...

This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of ...

Mangou, M. , Wu, C. and Sangary, O. (2025) LbrBart: A Text Summarizer for Liberia News Outlets. Open Access Library Journal, 12, 1-14. doi: 10.4236/oalib.1112923 .

This empirical analysis of results measured with standard performance measures reveals the highest accuracy of 97% with transformer-based model RoBERTa using advanced embedding approach, to ...

The advent of deep learning technologies has led to the emergence of Transformer-based deep learning models as innovative solutions for ... solution for forecasting pollutant concentrations. In ...

and summarization. However, evaluating these models without considering use-case-specific prompts can lead to misleading assessments of their performance, especially regarding bias and fairness risks.

In this tutorial, we will learn how to build an interactive health data monitoring tool using Hugging Face’s transformer models, Google Colab, and ipywidgets. We walk you through setting up your Colab ...

Our approach integrates YOLOv8 for real-time human detection with Time-Space Transformers for temporal motion analysis ... Experimental results demonstrate that our model outperforms existing state-of ...