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 Safe Harbor Statement: Statements in this news delivery might be "forward-looking proclamations". Forward-looking explanations incorporate, however are not restricted to, proclamations that express our aims, convictions, assumptions, methodologies, expectations or some other assertions identifying with our future exercises or other future occasions or conditions. These assertions depend on current assumptions, evaluations and projections about our business based, to a limited extent, on suppositions made by the executives.  These assertions are not certifications of future execution and include dangers, vulnerabilities and suspicions that are hard to anticipate. Consequently, real results and results may, and are probably going to, vary substantially based on what is communicated or guage in forward-looking explanations because of various components. Any forward-looking assertions talk just as of the date of this news delivery and iQSTEL Inc. embraces no commitment to refres...
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LSU Computer Science Assistant Professor Receives NSF CAREER Award

BATON ROUGE—LSU Computer Science and Engineering Assistant Professor Mingxuan Sun recently received the NSF CAREER Award for a project she is working on called "Privacy-aware Predictive Modeling of Dynamic Human Events," which is supported by the NSF Information & Intelligent Systems Division. The grant, which runs from June 2020 to May 2025, is worth $422,815.

 Over this course of time, Sun is expected to develop a series of novel models and algorithms to analyze dynamic human events. Machine learning that leverages individuals' event computer engineer vs computer science can improve the prediction accuracy of future events but introduces high risks to each individual's privacy.

 "Nowadays, large volumes of human event data, such as online TV-viewing records, domain name server queries, and electronic records of hospital admissions are becoming increasingly available in a wide variety of applications, including network analysis and services and healthcare analytics," Sun said. "Predictive modeling of those collective event sequences is beneficial for promoting nationwide economic and safety development."

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