May there be many more Way Makers and songs that travel from Nigeria around the globe!"ĪBOUT SINACH Sinach is an award winning songwriter, vocalist and anointed international worship leader. Phil continues, "The time we spent with Sinach and her husband Joseph, giving us the privilege of understanding their heart to serve the church globally, thrills us as we enter a season of serving Sinach's remarkable calling. "Sinach has already written many songs that have become anthems in Africa. At Integrity Music we are excited to play our part in seeing now the worship songs from Nigeria blessing the Nations." Integrity Music are honoured to be working with Sinach to see her trailblazing songs grow to reach more communities and for new songs to be birthed in the process. "We are honoured that Sinach would choose the family of Integrity Music to partner with" shares Phil Loose, MD of Integrity Music Europe. "I am thrilled about the publishing partnership between Sinach and Integrity Music," says Les Moir, A&R Ambassador at Integrity Music Europe. Rice is also rated as a best value among private universities by Kiplinger’s Personal Finance.Integrity Music is excited to announce a global song promotion partnership with Nigerian worship leader Sinach. With pieces including 'Way Maker' and 'l Know Who I Am', her songs have made an impact in the church on a global scale. 1 for quality of life by the Princeton Review. 1 for lots of race/class interaction and No. Its residential college system builds close-knit communities and lifelong friendships, just one reason why Rice is ranked No. With 4,240 undergraduates and 3,972 graduate students, Rice’s undergraduate student-to-faculty ratio is just under 6-to-1. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy. Located on a 300-acre forested campus in Houston, Rice University is consistently ranked among the nation’s top 20 universities by U.S. “Collaborative Research: SaTC: CORE: Medium: Bubble Aid: Assistive AI to Improve the Robustness and Security of Reading Hand-Marked Ballots” | National Science Foundation | Secure and Trustworthy Cyberspace ProgramĬAPTION: Dan Wallach (Photo by Jeff Fitlow/Rice University) About Rice The research could also benefit people who use hand-marked forms in other applications, like standardized testing. Existing systems are also not inherently designed to identify potentially fraudulent voting cases where a single voter has filled out multiple ballots.īubble Aid could improve vote tabulation efficiency and security by helping election officials focus their attention on ambiguous ballots that require the most manual attention. As a result, traditional paper ballot scanners can miss partially filled-in marks or misclassify stray marks and scanner noise as filled-in bubbles. “When the goal is to get exceptionally high accuracy, and perhaps even detect fraudulent ballots, our research will hopefully devise ways that we can do this better than ever before.Įven the most sophisticated systems used to scan and process hand-marked ballots primarily look at the average darkness across bubble targets on a sheet. I'm very excited to collaborate on a project that brings together researchers from very different areas to look at the seemingly simple problem of scanning hand-marked paper ballots,” said Wallach, a professor of computer science and of electrical and computer engineering. By training on data from millions of actual ballots, the system will use modern computer vision and machine-learning techniques to recognize hand-marked bubble targets more effectively than existing systems. Rice’s Dan Wallach, Texas A&M’s Nitesh Saxena and UAB’s Chengcui Zhang were awarded a grant from the National Science Foundation to build an artificial intelligence system called Bubble Aid that can read hand-marked ballots. Dan Wallach (Photo by Jeff Fitlow/Rice University) Computer scientists from Rice University, Texas A&M University and the University of Alabama at Birmingham are preparing to use state-of-the-art artificial intelligence to study the robustness and security of election systems that read hand-marked paper ballots.
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