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 ...

The researchers report that their model achieved a 93% cross-validation score in binary classification, underscoring its ...

A team of researchers led by Dr. Ittai Herrmann at The Hebrew University of Jerusalem, in collaboration with Virginia State ...

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 ...

Scientists in Malaysia have developed a novel deep-learning method for PV suitability mapping. Applying the new approach to the Middle East, they found that approximately 5.8% of the region has very ...

Recent advances in deep learning have significantly transformed mineral classification methodologies, supplanting labour‐intensive manual approaches with automated, high-precision systems. By ...

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

A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...

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

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike ...

Hyderabad - KL Deemed to be University has conferred a Doctorate degree on Ms. A. Vinisha, a research scholar from the Department of Electronics and Communication Engineering (ECE) at KLH, Aziznagar ...

Mastering programming languages like Python and understanding machine learning fundamentals is essential.Building real-world ...