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

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

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

A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...

Dinosaur skeletons often dominate museum halls, from the towering Tyrannosaurus rex known as Sue in Chicago to Sophie the ...

Vital for Cloud Security? Where businesses increasingly shift operations to the cloud, how can they ensure robust security while managing machine identities? Non-Human Identities (NHIs) offer a ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

The Impact of AI in Banking and Financial Services, evaluates how machine learning and natural language processing can be ...

To fully harness AI’s potential, KRA should pair its internal modernisation efforts with selective adoption of proven ...

As operational footprints grow larger and regulatory expectations increase, traditional fire watch methods face measurable ...

Are You Overlooking Non-Human Identities in Cloud Security? Machine identities have emerged as critical components that require immediate attention and robust management. Where organizations ...