The aim of the March Kennesaw State University College of Computing and Software Engineering Hackathon event, was to demonstrate to students how big data analytics may be used for social good to solve problems in society that make a real difference in people's lives. HPCC Systems provided students with the opportunity to learn more about The ADAM Program and take a look at missing children trends.
In 2020, we accepted a CodeDay student, Jefferson Mao, on to the HPCC Systems Intern Program. He will be rejoining the program in 2021 along with two other CodeDay participants, Alexander Parra and Eleanor Carl. Find out more about their involvement with CodeDay and their intern projects, which range from using Machine Learning, our Cloud Native platform and the HPCC Systems Covid-19 Tracker.
LexisNexis Risk Solutions have been a sponsor of CodeDay since 2014. This program was started to provide students with an opportunity to explore careers in computer science and to introduce them to coding, The COVID-19 pandemic has meant that the last few events have taken place completely virtually, including the latest CodeDay, which was was held at the end of February 2021.
We were delighted to be a sponsor at another CodeDay event in December 2020. HPCC Systems was represented by Bahar Fardanian and Arjuna Chala, who provided support to students taking part in our big data challenge. CodeDay events were held virtually in 2020 attracting more students than ever. Find out about this high school specific program and our involvement in the most recent CodeDay.
Our 'Going Cloud Native' blog series continues with this demonstration, showing how to setup and deploy an HPCC Systems Platform Cluster on the AWS Elastic Kubernetes Service (EKS). This tutorial style blog is a truly collaborative effort featuring contributions from Lucas Varella who is an intern studying at the University of Santa Catarina (UFSC) in Brazil, our LexisNexis Risk Solutions Group colleagues, Hugo Watanuki and Xiaoming Wang and Akash Gheewala a Solutions Architect from Amazon Web Services.
Natural language processing (NLP) research has progressed rapidly in the last year, with significant performance improvement in a variety of NLP tasks. Yet, the research of NLP techniques in the biomedical domain has not progressed much. The advantage of the biomedical domain is that it has a high-quality human curated knowledge base and large-scale literature, both of which contain rich prior knowledge.
Audio forensics is the field of forensic science relating to the acquisition, analysis, and evaluation of sound recordings. These recordings are normally used as evidence in an official venue. In this blog, we discuss a modern approach to forensic audio analysis, using artificial neural networks, digital signal processing, and big data.
In today’s world, Data Analytics is an important part of sports. Sports organizations on every level use data analytics to predict and improve player performance, a team’s quality of play, prevent injury, increase revenue, and more. Christopher Connelly, a Sport Scientist at North Carolina State University (NCSU), spoke at Community Day 2019 and HPCC Systems Tech Talk 29 about the university’s Athlete 360 program.
Deep learning is a subset of machine learning that is modeled on the basis of the human brain. It essentially teaches computers what comes naturally to humans (learning by examples). In this blog, we discuss how deep learning models using background knowledge were used to achieve sequence learning on traffic and natural language. We also introduce the deep learning tool, TensorLayer.
Cervical cancer is a leading cause of cancer-related death among women, with about half a million new cases worldwide in 2018 (WHO, 2018). 90% of cervical cancer deaths occur in low resource settings. This mortality could be reduced through effective prevention, screening, and treatment programs.