The rush to put out autonomous agents without thinking too hard about the potential downside is entirely consistent with ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Department of Chemistry and Biochemistry, University of South Carolina, Columbia, United States ...

Company outlines data-driven appraisal, internal redeployment matching, and marketplace liquidation workflows designed ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Abstract: In the context of the big data era, the extensive penetration of the Internet and the rapid development of database technology have led to an explosive growth in the amount of data generated ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data Preprocessing can quietly change the meaning of your data, which is why the Data Fusion Labeler is built to harmonize ...

AI and large language models (LLMs) are transforming industries with unprecedented potential, but the success of these advanced models hinges on one critical factor: high-quality data. Here, I'll ...

This repository contains the code and data for the study: "AI-Driven Summarization of ProMED Outbreak Reports: Development of a Structured Database Using Large Language Models and Its Application to ...