Devdiscourse

Biomedicine is becoming “AI-dependent” as algorithms outperform human diagnostics

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...
IEEE

Human Activity Detection Using Deep Learning

Abstract: Human Activity Recognization (HAR), which focuses mostly on behavioral patterns, security, and health monitoring, is one of the crucial fields of machine learning. The focus is on detecting ...
Security Boulevard

Can I be reassured of data integrity with Agentic AI?

How Can Non-Human Identities Enhance Data Integrity in Agentic AI? Have you ever considered the silent guardians keeping your data safe, especially in a cloud-dominated environment? Non-Human ...
IEEE

Efficient Document Image Classification Using Deep Learning Enhance with CNN Architectures

Abstract: Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...
C&EN

Identifying Structure–Activity Relationships for Cyanine-Derived Antibiotics Using Machine Learning and Commercial Large Language Models

Smalley-Curl Institute, Rice University, 6100 Main Street, Houston, Texas 77005, United States Department of Chemistry, Rice University, 6100 Main Street, Houston, Texas 77005, United States ...