John Harbaugh's Giants on full display in bruising win over Cowboys to kick off NFL season WWE star Stephanie Vaquer captures Women's World Championship at Chile live event in surprising moment Ben Shelton loses in US Open final to Zverev, but America has found its next big men's tennis star Jeremiyah Love makes immediate statement with touchdown on first career drive in Cardinals' upset win Josh Allen torches one of NFL's best defenses to make case it's time to move on from 2025 playoff loss Breanna Stewart's double-double, Caitlin Clark's emergence off bench help US to World Cup win over France USC fans trade punches with one another in the stands because winning sometimes isn't enough AI agents are'hacking out of the container' despite best efforts to prevent it, expert warns Prosecution in Lindsay Clancy trial may have'alienated' jurors, criminal defense attorney says You treat a nuclear power'significantly different' than a non-nuclear power: Gen. Keith Kellogg Accepting political violence as a form of expression is'dangerous,' Jonathan Turley warns'The Squad' faces backlash over claims'modern-day lynchings' are now common in America There is no'moderate socialism,' Republican consultant says Prince Harry's reported Princess Diana movie project sparks controversy Prince Harry's reported Princess Diana movie project sparks controversy Sunday's slate delivered historic scoring, ugly quarterback play and early contender clues It's big if Joe Burrow stays healthy. If that offense stays healthy, they are one of the tougher ones to defend. So, I think Cincinnati is a sleeper and you got a ton of change in that division. We got unknowns in Kansas City. We've got change in Baltimore.

The death of country music legend has drawn tributes from both sides of the political aisle, including President Donald Trump and New York City Mayor Zohran Mamdani.

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Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now In My Bag VidCon with Mashable All Series Today's will be easier if you know international sports. As we've shared in previous hints stories, this is a version of the popular word game that seeks to test the knowledge of sports fans. Like the original, the game is all about finding the common threads between words. And just like, resets after midnight, and each new set of words gets trickier and trickier -- so we've served up some hints and tips to get you over the hurdle. If you just want to be told today's puzzle, you can jump to the end of this article for the latest solution.

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . Apple's $250M Siri settlement: Are you owed cash? Is ID.me safe to use? Why last year's breach is this year's identity fraud Humanoid robot named'Gabi' ordained as Buddhist monk, pledges devotion to'holy Buddha' Disney wants to scan your face at the gate: Here's why SIM swap scam drained Florida woman's bank account in minutes Trump says US'in very good shape' on hantavirus Outcomes of Operation Epic Fury have'already made the US safer,' State Department spokesperson says Tech Experts Say it's Time to Ditch Your Passwords WATCH: Couple's first dance goes UP IN FLAMES Angela Lipps' attorney explains how a facial recognition error wrongfully linked the Tennessee grandmother to a North Dakota bank fraud case, causing her to spend over five months in custody.

Abandoned pigs rescued on Tennessee's Looney Islands The animals are in good hands thanks to patience and a'pig whisperer.' A team from Young-Williams Animal Center in Knoxville, Tennessee and Knox County Rescue worked together to save the abandoned pigs. Breakthroughs, discoveries, and DIY tips sent six days a week. A team from the Young-Williams Animal Center in Knoxville recently rescued two pigs stranded on a group of islands in the Tennessee River. After receiving multiple calls about the animals that appeared to be abandoned on Looney Islands, the team worked with the Knoxville Fire Department and Knox County Rescue to get to the islands.

The "Kill Them All" Edition US officials debate who to blame for the military killing of shipwrecked alleged drug smugglers; Democrats celebrate despite losing a special election in Tennessee; and the future of self-driving cars. Please enable javascript to get your Slate Plus feeds. If you can't access your feeds, please contact customer support. Check your phone for a link to finish setting up your feed. Please enter a valid phone number.

Operational safety at mission-critical work sites is a top priority given the complex and hazardous nature of daily tasks. This paper presents the Human-Agent Risk Navigation and Event Safety System (HARNESS), a modular AI framework designed to forecast hazardous events and analyze operational risks in U.S. Department of Energy (DOE) environments. HARNESS integrates Large Language Models (LLMs) with structured work data, historical event retrieval, and risk analysis to proactively identify potential hazards. A human-in-the-loop mechanism allows subject matter experts (SMEs) to refine predictions, creating an adaptive learning loop that enhances performance over time. By combining SME collaboration with iterative agentic reasoning, HARNESS improves the reliability and efficiency of predictive safety systems. Preliminary deployment shows promising results, with future work focusing on quantitative evaluation of accuracy, SME agreement, and decision latency reduction.

Transportation remains a major contributor to greenhouse gas emissions, highlighting the urgency of transitioning toward sustainable alternatives such as Electric Vehicles (EVs). Yet, uneven spatial distribution and irregular utilization of charging infrastructure create challenges for both power grid stability and investment planning. This study introduces Traffic-Weather Graph Convolutional Network (TW-GCN), a spatio-temporal forecasting framework that combines Graph Convolutional Networks with temporal architectures to predict EV charging demand in Tennessee, United States. We utilize real-world traffic flows, weather conditions, and proprietary data provided by one of the largest U.S.-based EV infrastructure companies to capture both spatial dependencies and temporal dynamics. Extensive experiments across varying forecasting horizons, clustering strategies, and sequence lengths reveal that mid-horizon (3-hour) forecasts achieve the best balance between responsiveness and stability, with One-dimensional convo-lutional neural networks consistently outperforming other temporal models. Regional analysis shows disparities in predictive accuracy across East, Middle, and West Tennessee, reflecting how station density, Points of Interest and local demand variability shape model capabilities. The proposed TW-GCN framework advances the integration of data-driven intelligence into EV infrastructure planning while supporting sustainable mobility transitions.