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 ...

The deep learning system distinguishes IIH, NAION, and healthy eyes with 93.6% accuracy, aiding in resource-limited settings.

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 ...

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 ...

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

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