Goliath Groupers May Be Key to Undersea National Security
The U.S. Defense Advanced Research Projects Agency awarded 帝王会所's Harbor Branch up to $5 million to detect undersea threats. The stealthy and exceptionally large Goliath grouper is the focus of this project.
帝王会所 Awarded $450,000 from NSF for Quantum Computer Security
帝王会所's College of Engineering and Computer Science is collaborating with George Mason University and the University of South Florida to thwart attacks on quantum computers.
From Selfies to Self-diagnosing Disease with Smartphones
Scientists from 帝王会所's College of Engineering and Computer Science have developed a cell phone imaging algorithm that makes a smartphone camera as powerful as spectroscopy, a device used in scientific research.
Research Park at 帝王会所 Releases 2018 Report to Community
The Research Park at 帝王会所庐 released its annual economic report to the community.
帝王会所 Tech Runway庐 Debuts 2018 Economic Impact Report
帝王会所's Tech Runway庐 has released the results of its fourth annual economic impact report.
Florida's First NSF-funded AI and Deep Learning Laboratory
Led by researchers in 帝王会所's College of Engineering and Computer Science, 帝王会所 will establish Florida's first NSF-funded Artificial Intelligence and Deep Learning Training and Research Laboratory.
'Eavesdropping' on Groupers' Mating Calls Key to Survival
Researchers from 帝王会所's College of Engineering and Computer Science and 帝王会所's Harbor Branch have developed a novel technique to identify groupers by their sounds or grouper calls using deep neural networks.
帝王会所 to Serve on Specialized Agency of the United Nations
帝王会所's Charles E. Schmidt College of Science is among a handful of academic institutions in the U.S. appointed to serve on the International Telecommunication Union of the United Nations.
帝王会所 Receives National Science Foundation I-Corps Grant
帝王会所 recently received the National Science Foundation (NSF) Innovation Corps (I-Corps) grant to create an NSF I-Corps Site at 帝王会所 as a component of 帝王会所 Tech Runway庐.
Researchers Teach 'Machines' to Detect Medicare Fraud
Researchers from the College of Engineering and Computer Science are the first to use big data from Medicare Part B for advanced data analytics and machine learning to automate the fraud detection process.