Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

To solve these problems, machine learning (ML)-based ADHD detection was designed by identifying optimal channels and its significant features. In this work, support vector machine and t-test based, ...

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 ...

A new study utilizes compact neural networks to uncover the underlying mechanisms behind human decision-making. Scientists have long studied how people and animals make decisions, often looking at how ...

Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Senior Data Scientist Ankit Pathak received the 2025 Global Recognition Award for developing innovative machine learning ...

Following the success of LLMs, the AI industry is now evolving with multimodal systems. In 2023, the multimodal AI market ...

Drs. Fatemeh Ardeshir-Larijani and Mohamed Abazeed discuss a validated AI model that can predict how patients with advanced ...

Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives ...

When it comes to vehicle testing and validation, nothing we’ve encountered before comes close to the complexity of autonomous ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...