The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

As humans age beyond early adulthood, their physical and mental functions tend to slowly worsen over time. One of the most ...

NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes ...

Scientists at the Joint BioEnergy Institute (JBEI) have developed two methods to accelerate the ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Scientists in Sweden and Norway have uncovered a promising way to spot Parkinson’s disease years—possibly decades—before its most damaging symptoms appear. By detecting subtle biological signals in ...