Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...
Invisible labor has always existed: in care work, cleaning, or customer service. AI extends it into cognitive and emotional ...
AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational modeling, genomics and drug development. The authors highlight how ...
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 ...
This valuable study shows that regions of the human auditory cortex that respond strongly to voices are also sensitive to vocalizations from closely related primate species. The study is ...
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 ...
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 ...
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 ...
A non-invasive imaging technique can translate scenes in your head into sentences. It could help to reveal how the brain interprets the world. Reading a person’s mind using a recording of their brain ...