Through his data-driven approach, Samuel delivered $2 million in incremental annual revenue — a remarkable 15% boost to the ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States Introduction: Data sharing is essential for advancing research in radiation oncology, particularly for training artificial ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...

Abstract: This study explores the use of supervised learning and Q-learning to optimize dynamic preamble allocation in a single-cell 5G network, supporting SDG 9 (Industry, Innovation, and ...

Purpose: Brain tumor segmentation with MRI is a challenging task, traditionally relying on manual delineation of regions-of-interest across multiple imaging sequences. However, this data-intensive ...