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

Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

Instead of acting as isolated tools, ML, DT, and Edge AI work together to create intelligent, adaptive, and self-optimizing ...

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

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

Lantern Pharma Inc. (NASDAQ: LTRN), a pioneering artificial intelligence company transforming oncology drug discovery and ...

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 ...