AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

Researchers at King Abdullah University of Science and Technology (KAUST; Saudi Arabia) have announced the development of a ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Introduction to Computer Vision in HealthcareLet’s face it—healthcare can be slow, expensive, and prone to human error. But what if a camera and some smart algorithms could help change that? That's ...

The increase in precision agriculture has promoted the development of picking robot technology, and the visual recognition ...

The platform uses deep learning technology to explore user data, providing real-time feedback for smart algorithms.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

Introduction to the fundamentals of numerical optimization. Supervised Learning (Discriminative Models): Topics span linear regression, logistic regression, K-nearest neighbors, decision trees, ...

To address these challenges, we propose a novel AUV path planning algorithm named the Noisy Dueling Double Deep Q-Network (ND3QN) algorithm by modifying the reward function and introducing a noisy ...