A new synthesis finds that common epilepsies are driven by thousands of tiny-effect genetic variants, most still ...

The Massachusetts Institute of Technology (MIT) Center for Transportation & Logistics and Mecalux have developed an artificial intelligence-based simulator designed to optimise inventory distribution ...

A new Nature Aging study shows that simple blood tests can detect Alzheimer's and frontotemporal dementia with up to 96% accuracy in Latin American populations — genetically diverse groups that have ...

Researchers from Duke Health and the University of Minnesota recently discovered that measuring specific tiny genetic ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

Researchers have developed a diagnostic panel that identifies cognitive decline by analyzing how blood proteins fold. This ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for generating images from pure noise by using the physics of heat and motion ...

This project implements an advanced Virtual Machine Placement (VMP) optimization system that leverages multi-objective genetic algorithms, machine learning predictions, blockchain technology, and ...

The compressive strength (CS) is the most important parameter in the design codes of reinforced concrete structures. The development of simple mathematical equations for the prediction of CS of ...

This project focuses on detecting cyber attacks using machine learning techniques. It employs various algorithms to analyze network traffic and identify potential threats in real-time.