Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

Abstract: The coincident event analysis is of paramount importance in positron emission tomography (PET). The result of this process, often termed coincidence time resolution (CTR), is one of the most ...

Spatially Fractionated Radiation Therapy (SFRT) has emerged as an appealing approach in radiation oncology due to its outstanding performance in tumor control and ability to preserve normal tissues.

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...