This paper presents an adaptive path planner for object search in agricultural fields using UAVs. The path planner uses a high-altitude coverage flight path and plans additional low-altitude inspections when the detection network is uncertain. The path planner was evaluated in an offline simulation environment containing real-world images. We trained a YOLOv8 detection network to detect artificial plants placed in grass fields to showcase the potential of our path planner. We evaluated the effect of different detection certainty measures, optimized the path planning parameters, investigated the effects of localization errors, and different numbers of objects in the field. The YOLOv8 detection confidence worked best to differentiate between true and false positive detections and was therefore used in the adaptive planner. The optimal parameters of the path planner depended on the distribution of objects in the field. When the objects were uniformly distributed, more low-altitude inspections were needed compared to a non-uniform distribution of objects, resulting in a longer path length. The adaptive planner proved to be robust against localization uncertainty. When increasing the number of objects, the flight path length increased, especially when the objects were uniformly distributed. When the objects were non-uniformly distributed, the adaptive path planner yielded a shorter path than a low-altitude coverage path, even with a high number of objects. Overall, the presented adaptive path planner allowed finding non-uniformly distributed objects in a field faster than a coverage path planner and resulted in a compatible detection accuracy. The path planner is made available at https://github.com/wur-abe/uav_adaptive_planner.

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}.

Tim Maughan is a writer of fiction and nonfiction. His debut novel "Infinite Detail" (FSG, 2019) was The Guardian's science fiction and fantasy book of the year and was shortlisted for the Locus Award for best first novel. "Where'd you find this guy?" Dave Clutch asks me, pushing bangs out of anime-girl eyes with a flick of a cell-shaded hand. "Yeah, nice try lol," I reply. "Like I'm gonna tell you my trade secrets." I brace for a stylized sweat drop that never comes, thankfully. The aesthetic is so played out that my reaction to it borders on allergic, but at least it is an aesthetic. When I first found Dave he was just another youtuber, all skinny white boy grey skin and sagging eye bags lit by nothing but the slowly cycling RGB LEDs of his gaming rig, staring awkwardly into the camera as he read his scripts and flicked real bangs of hobbit hair out of his eyes. It was a look that screamed a desperate need for authenticity, and it was the first thing I had to beat out of him. Back then he was posting weekly videos about his patent dives into smart contact lens technology -- long, rambling monologues detailing what he'd unearthed about some obscure Chinese manufacturer and how they were going to "reinvent personal immersion" by making VR headsets and spex obsolete. What he didn't know was that the company was already in acquisition talks with Meta, and they'd been feeding him bullshit patents for fantasy tech in order to drive their market value up. Meta didn't give a fuck, the whole deal was pocket change for them, but the day traders whose algos had already decided his info was whack and the company was a good shorting opportunity were pissed and braying for blood. It didn't help that Dave had been stupid enough to blow his student loans on buying shares in them himself. It was not, as we used to say, a good look.

We hear the terms Machine Learning and Artificial Intelligence (AI) all the time, but how does an ordinary business like yours make use of such extraordinary tools along with Dynamics 365 for Finance and Operations without a massive budget or team of data scientists? Thankfully, users are learning that Finance and Operations makes Machine Learning and AI technology more accessible than ever before. Register now to learn how your business can unleash the power of Machine Learning and Artificial Intelligence. With over 15 years of experience within the ERP field, Rick Schoenecker provides expert knowledge of ERP systems, and this use case is sure to provide value to all interested in the Dynamics 365 platform. Matt Finley is adept at leveraging technology to solve business problems.

In Australia, the Scientists-in-Schools program partners professional scientists with teachers from K-12 schools to improve early engagement and educational outcomes in the sciences and mathematics.  An overview of the developing syllabus of a K-6 course resulting from the pairing of a senior AI researcher with teachers from a K-6 (primary) school is presented. Now entering its third year, the course introduces the basic concepts, vocabulary and history of science generally and AI specifically in a manner that emphasises student engagement and provides a challenging but age appropriate syllabus. Reflecting on the course at this time provides an action research basis for ongoing maturation of the syllabus, and the paper is presented in that light.