Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
An analysis of policy documents from 116 R1 U.S. universities found that 63% of these institutions encourage the use of generative AI, with 41% offering detailed guidance for its use in the classroom.
This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
Age checks no longer stop at store counters or ticket booths. They now shape access to social media, online games, streaming services, and regulated products such as alcohol, tobacco, and gambling. In ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Introduction This article outlines the research protocol for a multicentre, randomised, controlled study designed to evaluate the therapeutic effect of a modified olfactory training (MOT) based on ...
A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
A research team developed a fully automated, drone-based phenotyping workflow that can measure key peanut canopy and ...