Highland County Press: Husted launches AI tool to analyze Ohio regulations

Highland County Press: Husted launches AI tool to analyze Ohio regulations. Ohio’s Lt. Governor Jon Husted. “The project launched Thursday, procured with the assistance of InnovateOhio, uses text analytics and artificial intelligence to analyze Ohio’s rules. By comparing and linking data sets— a task that could take humans months or years — it will provide government policymakers with opportunities to streamline regulations. The tool will more quickly sort data from the Ohio Revised Code (ORC) and Ohio Administrative Code (OAC) in order to narrow the work that needs to be done by human analysts.”

EurekAlert: ORNL researchers develop ‘multitasking’ AI tool to extract cancer data in record time

EurekAlert: ORNL researchers develop ‘multitasking’ AI tool to extract cancer data in record time. “To better leverage cancer data for research, scientists at [Oak Ridge National Laboratory] are developing an artificial intelligence-based natural language processing tool to improve information extraction from textual pathology reports. The project is part of a DOE-National Cancer Institute collaboration known as the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) that is accelerating research by merging cancer data with advanced data analysis and high-performance computing.”

PR Newswire: Bloomberg Law Introduces Brief Analyzer, New AI Tool For Review And Analysis Of Legal Briefs (PRESS RELEASE)

PR Newswire: Bloomberg Law Introduces Brief Analyzer, New AI Tool For Review And Analysis Of Legal Briefs (PRESS RELEASE). “Brief Analyzer enables Bloomberg Law subscribers to quickly and securely upload a legal brief for analysis. Leveraging machine learning techniques, Brief Analyzer reviews the text of the uploaded document to identify authorities cited in the brief and additionally suggests other content for review, including relevant cases not cited in the brief, similar briefs from other dockets, and Practical Guidance.”

EurekAlert: Carnegie Mellon leverages AI to give voice to the voiceless

EurekAlert: Carnegie Mellon leverages AI to give voice to the voiceless. “The [ Carnegie Mellon University’s Language Technologies Institute (LTI)] researchers have developed a system that leverages artificial intelligence to rapidly analyze hundreds of thousands of comments on social media and identify the fraction that defend or sympathize with disenfranchised minorities such as the Rohingya community. Human social media moderators, who couldn’t possibly manually sift through so many comments, would then have the option to highlight this ‘help speech’ in comment sections.”

Penn Today: ‘May the force be with you’ and other fan fiction favorites

Penn Today: ‘May the force be with you’ and other fan fiction favorites. “As a new Star Wars movie hits the multiplex, Penn researchers are launching a new computer-based tool to better understand fiction written by fans based on that blockbuster series and several other famous film franchises.”

The Digital Pulpit: A Nationwide Analysis of Online Sermons (Pew)

Pew (PEW PEW PEW PEW PEW PEW PEW!): The Digital Pulpit: A Nationwide Analysis of Online Sermons. “Frequent churchgoers may have a good sense of what kind of sermons to expect from their own clergy: how long they usually last, how much they dwell on biblical texts, whether the messages lean toward fire and brimstone or toward love and self-acceptance. But what are other Americans hearing from the pulpits in their congregations?” The methodology was as fascinating to me as the research.

Nature: A global database of historic and real-time flood events based on social media

Nature: A global database of historic and real-time flood events based on social media. “Early event detection and response can significantly reduce the societal impact of floods. Currently, early warning systems rely on gauges, radar data, models and informal local sources. However, the scope and reliability of these systems are limited. Recently, the use of social media for detecting disasters has shown promising results, especially for earthquakes. Here, we present a new database for detecting floods in real-time on a global scale using Twitter.”