The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon solutions in the construction industry.

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

Tanuj Mathur uses AI and machine learning to create a cybersecurity framework, improving patch management, regulatory ...

Myrtle.ai, a recognized leader in accelerating machine learning inference, today released support for its VOLLO® inference ...

Artificial Intelligence is a controversial subject—though not for railroads when it comes to safety, if used properly. The ...

Contributor Content The connected fitness industry has spent the past decade digitizing traditional gym experiences, ...

It might seem like an obvious move to deploy drones to help look for flood victims, but floods pose unique challenges that ...

The study found that integrating spatial analysis from CNNs with temporal learning from LSTMs enabled the hybrid model to ...

This framework helps firms and finance departments align strategies, optimize processes, and get ready for deploying IPA.