A dual-model battery health assessment framework analyzes real-world voltage data from retired EV batteries in grid storage. Using incremental ...
NXT BLD 2026. With design automation, AI, and data-driven approaches set to reshape AEC, NXT BLD has never felt more important ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...
A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.
Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
Overview:Machine learning bootcamps focus on deployment workflows and project-based learning outcomes.IIT and global programs provide flexible formats for appli ...
Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the ...
Abstract: This paper investigates the zero-shot capabilities of pre-trained large language models (LLMs) for music genre classification. The proposed approach splits audio signals into 20 ms chunks ...
The University of North Texas (UNT) is stepping into the future with a new undergraduate major in Artificial Intelligence (AI), ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Discover how Singapore's national service work-learn schemes are training young specialists for crucial roles in cyber ...
Abstract: This study aims to leverage artificial intelligence, particularly large language models (LLMs) and several BERT architecture versions, to categorize educational assessment questions ...
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