A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...

Nowadays, companies care more about the skills rather than college branch. If you know coding, can solve problems, and have ...

Materials and molecules are typically characterized through spectroscopic and spectrometric measurements, which provide insights into a compound’s structure and composition. Scientists need multiple ...

Bioacousticians are finding animal communication patterns once thought unique to humans — discoveries that challenge ideas about what makes human language special.

Scientists using AI and X ray imaging have read hidden text in a carbonised Herculaneum scroll, a Vesuvius Challenge breakthrough that may unlock hundreds of ancient works.

The findings underscore the challenge facing younger Americans hunting for jobs in the booming AI field. Big businesses are in bidding wars to land the same experienced pool of talent, raising ...

Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...

Abstract: Developments in space-based hyperspectral sensors, advanced remote sensing, and machine learning can help crop yield measurement, modelling, prediction, and crop monitoring for loss ...

Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with ...

Abstract: Grape cultivation faces various challenges, such as pests, management, fertilizer quality, and diseases caused by bacteria, fungi, and viruses. Notably, powdery mildew and blotches are ...