Radio remains a pervasive medium for mass information dissemination, with AM/FM stations reaching more Americans than either smartphone-based social networking or live television. Increasingly, radio broadcasts are also streamed online and accessed over the Internet. We present WavePulse, a framework that records, documents, and analyzes radio content in real-time. While our framework is generally applicable, we showcase the efficacy of WavePulse in a collaborative project with a team of political scientists focusing on the 2024 Presidential Elections. We use WavePulse to monitor livestreams of 396 news radio stations over a period of three months, processing close to 500,000 hours of audio streams. These streams were converted into time-stamped, diarized transcripts and analyzed to track answer key political science questions at both the national and state levels. Our analysis revealed how local issues interacted with national trends, providing insights into information flow. Our results demonstrate WavePulse's efficacy in capturing and analyzing content from radio livestreams sourced from the Web. Code and dataset can be accessed at \url{https://wave-pulse.io}.

State Sen. John Bramnick joins'Fox & Friends' to discuss the upcoming meeting with Gov. Phil Murphy and officials over mysterious drone sightings in their state. Two years ago, a Chinese balloon the size of three school buses hovered 60,000 feet in the air, drifting across the continental U.S. for seven days. It passed over sensitive security areas, including Malmstrom Air Force Base in Great Falls, Montana, that's home to stockpiles of missiles and nuclear defense infrastructure. Only after it was shot down did we learn this "civilian research airship" that President Biden claimed "was not a major security breach" was communicating with China through an American internet service provider and equipped with thousands of pounds of equipment, including a "massive surveillance payload." One would think the President of the United States and our nation's federal law enforcement agencies would have learned a lesson from this blatant security breach.

In Multi-Document Summarization (MDS), the input can be modeled as a set of documents, and the output is its summary. In this paper, we focus on pretraining objectives for MDS. Specifically, we introduce a novel pretraining objective, which involves selecting the ROUGE-based centroid of each document cluster as a proxy for its summary. Our objective thus does not require human written summaries and can be utilized for pretraining on a dataset consisting solely of document sets. Through zero-shot, few-shot, and fully supervised experiments on multiple MDS datasets, we show that our model Centrum is better or comparable to a state-of-the-art model. We make the pretrained and fine-tuned models freely available to the research community https://github.com/ratishsp/centrum.

Artificial Intelligence (AI) is the new standard in Information Technology (IT) and Apollos University is embracing it in its Information Technology program. GREAT FALLS, MT, UNITED STATES, January 3, 2018 – Apollos University announces that students will now be required to apply concepts of Artificial Intelligence (AI) to all capstone projects in the Bachelor of Science in IT degree program. "AI is the new standard in IT, not separate from it. It is increasingly becoming more prevalent in our lives and the workplace. AI is capable of delivering extraordinary features and improvements, that we have not yet fully comprehended. The reality is that, we need to learn to co-exist with machines. Not preparing our students for such a transformation, is doing them a disservice" states Nischal Chandra, the chairman of the IT department.