If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

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 ...

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

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

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

Energy Efficiency, Environmental Monitoring, Smart Cities, Energy Consumption, Clustering Techniques, Duty Cycling, Data Condensation, Machine Learning (ML), Reinforcement Learning (RL), Supervised ...

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

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 ...

Leveraging AI-backed solutions from oil and gas drilling, NOV helps geothermal operators drill their wells with reduced risk ...

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