Abstract: In the task of text classification, the method based on large model has gradually replaced base model. However, in the case of insufficient computing resources, fine-tuning operations are ...

Oracle denies delaying OpenAI data centers to 2028 due to shortages Investors worried about Oracle's debt-fueled AI infrastructure buildout Market sensitive to AI delays, scrutinizing spending payoffs ...

Abstract: Real-world applications have produced massive short text streams. Contrary to the traditional normal texts, they present the characteristics such as short length, only having few labeled ...

SAN FRANCISCO, Aug 14 (Reuters) - Oracle (ORCL.N), opens new tab and Alphabet (GOOGL.O), opens new tab said on Thursday their cloud computing units have struck a deal to offer Google's Gemini ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

In this paper, Austin Whisnant describes a machine learning model used to build a corpus of insider threat data to support insider threat research. As the insider threat problem grows and becomes more ...

Crop identification and monitoring of crop dynamics are essential for agricultural planning, environmental monitoring, and ensuring food security. Recent advancements in remote sensing technology and ...

Background: Free-text comments in patient-reported outcome measures (PROMs) data provide insights into health-related quality of life (HRQoL). However, these comments are typically analysed using ...

The Toxic Comments Classifier is a robust machine learning tool implemented in C++ designed to identify toxic comments in digital conversations. Featuring a custom-built multi-layer perceptron (MLP) ...