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How Much of Data-Center Activism Is Really AI Slop?

The Atlantic - Technology

How Much of Data-Center Activism Is Really AI Slop? Anti-AI sentiment is genuine, but its online expression looks stranger and stranger. Americans are wary of AI in general, and they are especially suspicious of the AI data centers that are popping up across the country like enormous mushrooms. A majority do not want a new data center built in their town. Across the country, community groups have organized to protest individual projects, and activists have successfully lobbied local and state politicians to place moratoriums on the facilities' construction.


Bridging the Clinical Expertise Gap: Development of a Web-Based Platform for Accessible Time Series Forecasting and Analysis

arXiv.org Artificial Intelligence

Time series forecasting has applications across domains and industries, especially in healthcare, but the technical expertise required to analyze data, build models, and interpret results can be a barrier to using these techniques. This article presents a web platform that makes the process of analyzing and plotting data, training forecasting models, and interpreting and viewing results accessible to researchers and clinicians. Users can upload data and generate plots to showcase their variables and the relationships between them. The platform supports multiple forecasting models and training techniques which are highly customizable according to the user's needs. Additionally, recommendations and explanations can be generated from a large language model that can help the user choose appropriate parameters for their data and understand the results for each model. The goal is to integrate this platform into learning health systems for continuous data collection and inference from clinical pipelines.


Hellbender salamanders are huge--and in trouble

Popular Science

The elusive'snot otters' can grow up to two feet long. Breakthroughs, discoveries, and DIY tips sent every weekday. The Eastern hellbender () isn't nearly as fearsome as its name implies. They're actually somewhat cute, if you can get past the salamander's slimy, mucousy skin that's earned it such nicknames, such as "snot otter" and "lasagna lizard." Although hellbenders can grow up to two feet long, the amphibians are notoriously elusive and prefer to reside under large, flat rocks in well-oxygenated waterways that snake through Appalachia and the Ohio River basin.


The Viral Storm Streamers Predicting Deadly Tornadoes--Sometimes Faster Than the Government

WIRED

At 10:44 pm eastern time on May 16, Ryan Hall spotted a blue square on his radar indicating debris flying into the air and realized a huge tornado was racing toward Somerset, Kentucky. "We've been watching this storm for a while, we've been hootin' and hollerin' for a while, hopefully the message has gotten out there and we know to be in our safe spots," Hall warned his YouTube audience in a calm voice with a Southern twang. A silver robot with blue eyes popped onto the screen to tell Hall that a viewer had commented about tiny houses near the tornado. Hall replied to his AI robot, known as Y'all Bot. The 31-year-old host of Ryan Hall, Y'all--one of YouTube's most popular weather channels with 2.8 million subscribers--went live for nearly 12 hours that day as more than 70 tornadoes swept through the central U.S., killing at least 28 people.


Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models

arXiv.org Artificial Intelligence

The integration of documents generated by LLMs themselves (Self-Docs) alongside retrieved documents has emerged as a promising strategy for retrieval-augmented generation systems. However, previous research primarily focuses on optimizing the use of Self-Docs, with their inherent properties remaining underexplored. To bridge this gap, we first investigate the overall effectiveness of Self-Docs, identifying key factors that shape their contribution to RAG performance (RQ1). Building on these insights, we develop a taxonomy grounded in Systemic Functional Linguistics to compare the influence of various Self-Docs categories (RQ2) and explore strategies for combining them with external sources (RQ3). Our findings reveal which types of Self-Docs are most beneficial and offer practical guidelines for leveraging them to achieve significant improvements in knowledge-intensive question answering tasks.


Forecasting Opioid Incidents for Rapid Actionable Data for Opioid Response in Kentucky

arXiv.org Artificial Intelligence

We present efforts in the fields of machine learning and time series forecasting to accurately predict counts of future opioid overdose incidents recorded by Emergency Medical Services (EMS) in the state of Kentucky. Forecasts are useful to state government agencies to properly prepare and distribute resources related to opioid overdoses effectively. Our approach uses county and district level aggregations of EMS opioid overdose encounters and forecasts future counts for each month. A variety of additional covariates were tested to determine their impact on the model's performance. Models with different levels of complexity were evaluated to optimize training time and accuracy. Our results show that when special precautions are taken to address data sparsity, useful predictions can be generated with limited error by utilizing yearly trends and covariance with additional data sources.


Kentucky man gets prison for hacking state systems to fake own death and avoid paying child support

FOX News

CyberGuy offers some hack prevention tips for credit and bank cards. A Somerset, Kentucky, man was sentenced to prison after hacking state registry systems to fake his own death in order to avoid paying child support. The U.S. Department of Justice (DOJ) said 39-year-old Jesse Kipf was sentenced to 81 months on Monday for computer fraud and aggravated identity theft. Kipf is accused of hacking state systems in Hawaii, Arizona and Vermont, in addition to two private companies, GuestTek Interactive Entertainment, which provides internet access at hotels, and Milestone Inc., a marketing company, according to federal court documents. In January 2023, when Kipf owed his California ex over six-figures, federal prosecutors say Kipf obtained the credentials of a doctor, logged into the Hawaii Death Registry System and created a case file for his own premature end.


A New Video Game Has Millennial Bros Ecstatic With Nostalgia

Slate

Timothy Foster needed something to look forward to when he was diagnosed with non-Hodgkin lymphoma last summer. The 35-year-old software developer, from upstate New York, knew he would have lots of time to kill while he recovered from his chemotherapy infusions, but what is there to do when you're laid up in bed all day? Yes, he had owned an NES and SNES in the '90s, but the last video game he had played in earnest was NCAA Football 14--a beloved 2013 college football simulator that was the final entry in a series that was discontinued following an arcane legal dispute between the powers that be in campus athletics and publisher EA Sports. But the landscape of college football has changed dramatically over the past few years, following a windfall of suddenly legal name, image, and likeness deals that freed up players to make money from outside sources. All this ultimately cleared a path for a revival of the one video game Foster ever truly loved.


Institutional Platform for Secure Self-Service Large Language Model Exploration

arXiv.org Artificial Intelligence

This paper introduces a user-friendly platform developed by the University of Kentucky Center for Applied AI, designed to make large, customized language models (LLMs) more accessible. By capitalizing on recent advancements in multi-LoRA inference, the system efficiently accommodates custom adapters for a diverse range of users and projects. The paper outlines the system's architecture and key features, encompassing dataset curation, model training, secure inference, and text-based feature extraction. We illustrate the establishment of a tenant-aware computational network using agent-based methods, securely utilizing islands of isolated resources as a unified system. The platform strives to deliver secure LLM services, emphasizing process and data isolation, end-to-end encryption, and role-based resource authentication. This contribution aligns with the overarching goal of enabling simplified access to cutting-edge AI models and technology in support of scientific discovery.


Kentucky to restart computer system upgrade for Office of Unemployment Insurance following delay

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Kentucky is dealing with another major delay in replacing its antiquated computer system at the Office of Unemployment Insurance. The state recently canceled the latest request for proposals for the upgrade project and reluctantly decided to start over, Education and Labor Cabinet Secretary Jamie Link said Thursday. Proposals by interested vendors were due by Oct. 19 of last year for the estimated $47.5 million upgrade, projected to take 18 to 24 months to complete, the Lexington Herald-Leader reported.