A boost for data processing and extraction ‘on the fly’

A quicker way of gathering and processing input data is destined to result in more efficient equipment for the biomedical field and beyond.

In a world seeing an explosion of information, the task of gathering and extracting the right data is pivotal to create more powerful high-tech applications and design faster equipment. One important method for accomplishing this task computationally is by removing redundant data through improved sparse modelling, a rapidly developing area that brings together statistics, machine-learning and signal processing. In computing terms, sparse models comprise mostly zeros and only a few nonzero parameters, exploiting novel theoretical and algorithmic tools to achieve its aims.

Further details: A boost for data processing and extraction ‘on the fly’