What if a helper robot could sense when your brain was tired? Assistant professor Maria Kyrarini receives two major NSF ...

2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...

The intersection of artificial intelligence and healthcare continues to unlock unprecedented opportunities for improving patient outcomes and operational efficiency. As healthcare organizations ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

Project SEARCH students are back in the classroom for another great year of learning at ECU Health. The program gives students with developmental disabilities in Pitt County the chance to gain ...

What's happening today with Microsoft and AI, then? For once, it's not Copilot being stuffed into something, instead, an interesting new open-source project called VibeVoice. VibeVoice is an entirely ...

The goal of this project is to predict Titanic passenger survival using demographic and travel features. This binary classification problem from the Kaggle Titanic competition demonstrates my ability ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

DUBAI, United Arab Emirates--(BUSINESS WIRE)--Dubai has launched the world’s first icon-based classification system to represent the level of human–machine collaboration in the process of producing ...

Abstract: This paper offers a comprehensive survey of recent advancements in machine learning (ML) and deep learning (DL) models, specifically focusing on their applications in text classification, ...