MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Mindmachines.com announces significant enhancements to its RoshiWave IN-SIGHT Mind Machine, incorporating expanded protocols and refined photostimulation capabilities designed to help users achieve ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

Traditional QSRR models are limited to single-column predictions, hindering adaptability across diverse LC setups in pharmaceutical settings. The new ML-based approach predicts retention times using ...

For women over 50, building muscle is one of the most powerful ways to support longevity, optimise hormones and stay strong in everyday life. As we age, we naturally lose muscle – a process known as ...

However, NGD faces several challenges associated with gamma-ray generation and attenuation complexities. Unlike GGD, which utilizes 0.662 MeV monoenergetic γ rays from a 137 Cs source, NGD employs ...

The latest study published in Engineering has unveiled a groundbreaking approach to advancing green ethylene manufacturing, with profound implications for global sustainable chemical production.

Abstract: In practical applications, the simultaneous optimization of numerous design parameters in time-consuming multi-objective optimization experiments is recognized as a significant bottleneck ...

Nanotechnology and machine learning are transforming energy systems by enhancing engine efficiency and sustainability. The integration of advanced nanomaterials, such as gold nanoparticles (AuNPs), ...