The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

The study addresses a common challenge in sustainable waste management: real-time classification of household waste under ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion remains a formidable technical hurdle. A new global study takes on this ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...