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

UAV Detection and Classification in Complex Environments Using Radar and Combined Machine-Learning Approaches

Abstract: Detecting uncrewed aerial vehicles (UAVs) has introduced significant challenges in ensuring safe and secure airspace, particularly in urban areas with high environmental clutter or complex ...
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 ...