A TEAM of engineers from the University of the Philippines Los Banos is developing a software that can provide faster data processing, better accuracy, and better generalization of data.

“Along with eight other new Artificial Intelligence programs from various universities and government institutions, the UPLB program to spearhead the development of the software was launched by the Department of Science and Technology-Philippine Council for Industry, Energy and Emerging Technology Research and Development,” the university said.

“The software will be the output of the projects Development of a Convolutional Neural Network and Recurrent Neural Network Topology for Impedance Spectroscopy Analysis,” it added.

Led by assistant professor John Paolo Ramoso, the project aims to help identify materials which can be applied for materials classification, drug searches, food safety protocols, and water quality monitoring, among others.

“The objective of the project is to develop an automated software that can import and read data from a spectrometer and give out an estimated equivalent circuit that is used in impedance spectroscopy,” Ramoso said.

“Spectroscopy is a study of parameters in the frequency domain between matter and electromagnetic radiation. It’s a basic method for identifying or classifying materials,” he added.

Chancellor Jose Camacho, on the other hand, said spectroscopy research indicates UPLB’s vision “toward diversifying and developing its competence and capacity” in doing research in other fields of science particularly on AI.

As part of the approval of the project, UPLB added it is eligible to receive one high-performance computing AIMachine.

“The research project runs from February 2021 to February 2023 and is implemented by the Institute of Mathematical Sciences and Physics’ Applied Physics Division and College of Engineering and Agro-Industrial Technology’s Department of Electrical Engineering,” UPLB said.