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The talk presented in this podcast, "Where do Ethics Belong in Artificial Intelligence?", It was presented at Oregon State University by Houssam Abbas (assistant professor of electrical engineering) and Alicia Patterson (assistant professor of philosophy) as part of an AI seminar series. "Engineering Out Loud" is a podcast from the College of Engineering at Oregon State University. It is for anyone who wants to know more about how engineering is changing the world. Hear from researchers about how they are tackling humanity's biggest challenges, including enabling access to clean water, preparing and recovering from natural hazards, and improving human the health and safety.

You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. Sobbing bride killer Jamie Lee Komoroski begs for her father in jaw-dropping arrest video after drunkenly crashing into golf cart-driving newlyweds: 'I just want to go home' Watch the moment two middle-aged men are escorted out of Fever WNBA game after going'too far' with player Oakland boys aged FOUR and seven took parents' car on joyride that ended with them striking woman walking her dog The eerie Diana detail in Meghan's perfect birthday photo everyone missed... it's just so revealing: JANE TIPPETT Shania Twain suffers devastating career blow with new album after backlash over raunchy stage outfits: 'It's not easy to evolve as an artist' Bride's sister accuses groom of the unthinkable on eve of lavish wedding: Read sickening claims in full... and see newlywed volleyball coach's astonishing new life My close friend has lost weight and completely changed her life. The compliments are flooding in and everyone is so proud... but this is the nasty secret I can't admit to her TV anchor says recent on-air'gynecology' blooper was the worst of his career Nolan Wells's friends say they plan to RETURN to Mississippi island where he died to try and'investigate' the black teenager's death Trump's chilling three-word prediction about the GOP's chances to maintain power in the midterms Perez Hilton's heartbreaking first words from hospital bed as fearful friends reveal the chilling hours inside his home before livestream crisis California's housing revolution hits one of America's wealthiest cities as developers race to build hundreds of apartments Booing erupts at highly inappropriate moment during Nevada governor's speech, leaving the lawmaker furious Baby born at 31 weeks after mother, 18, took abortion pills then gave birth on toilet because she and baby's dad, 19, did not want child, cops say Has your Mounjaro weight loss slowed down? This is how you can turbo-charge your jab by using our experts' very easy hacks... and exactly which body part you should be injecting Blind psychic Baba Vanga's chilling 2026 warnings resurface as clock ticks on three prophecies Moment terrifying'firenado' erupts as historic wildfires scorch 2 million acres across Pacific Northwest READ MORE: Urgent warning to brace for catastrophic'Ring of Fire' disaster as global megaquake chain reaction sparks fears for MILLIONS in its path: 'Super overdue' A towering vortex of flames erupted from an Oregon wildfire over the weekend as historic blazes continued to ravage the Pacific Northwest. Stunning footage captured near Burns shows the so-called'firenado' twisting through Harney County, where multiple fires have scorched hundreds of thousands of acres.

George Dover poses for a portrait at his home in Beaverton, Oregon. Dover was laid off in 2024. George Dover poses for a portrait at his home in Beaverton, Oregon. Dover was laid off in 2024. Every weekday, Matt, a software engineer, looks forward to his four-hour train commute to Pawling, New York.

We study offline imitation learning (IL) in cooperative multi-agent settings, where demonstrations have unlabeled mixed quality -- containing both expert and suboptimal trajectories. Our proposed solution is structured in two stages: trajectory labeling and multi-agent imitation learning, designed jointly to enable effective learning from heterogeneous, unlabeled data. In the first stage, we combine advances in large language models and preference-based reinforcement learning to construct a progressive labeling pipeline that distinguishes expert-quality trajectories. In the second stage, we introduce MisoDICE, a novel multi-agent IL algorithm that leverages these labels to learn robust policies while addressing the computational complexity of large joint state-action spaces. By extending the popular single-agent DICE framework to multi-agent settings with a new value decomposition and mixing architecture, our method yields a convex policy optimization objective and ensures consistency between global and local policies. We evaluate MisoDICE on multiple standard multi-agent RL benchmarks and demonstrate superior performance, especially when expert data is scarce.

Engineering Out Loud: S13E1 - How many robots can a single human supervise? Will swarms of autonomous aerial vehicles be able to aid humans in wildland firefighting or package delivery? Research summarized in a new paper in Field Robotics represents a big step towards realizing such a future. In this interview, Professor Julie A Adams describes the research showing that one person can supervise more than 100 autonomous ground and aerial robots. "Engineering Out Loud" is a podcast from the College of Engineering at Oregon State University.

We study the estimation of distributional treatment effects in randomized experiments with imperfect compliance. When participants do not adhere to their assigned treatments, we leverage treatment assignment as an instrumental variable to identify the local distributional treatment effect--the difference in outcome distributions between treatment and control groups for the subpopulation of compliers. We propose a regression-adjusted estimator based on a distribution regression framework with Neyman-orthogonal moment conditions, enabling robustness and flexibility with high-dimensional covariates. Our approach accommodates continuous, discrete, and mixed discrete-continuous outcomes, and applies under a broad class of covariate-adaptive randomization schemes, including stratified block designs and simple random sampling. We derive the estimator's asymptotic distribution and show that it achieves the semiparametric efficiency bound. Simulation results demonstrate favorable finite-sample performance, and we demonstrate the method's practical relevance in an application to the Oregon Health Insurance Experiment.

Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. During the summer of 2006, while pregnant with her son, Julia Olson staggered through a then record-breaking heat wave in Oregon, as New Orleans was just beginning its long road to recovery after Hurricane Katrina hit the year before. At the time, Olson was a public interest environmental lawyer.

Want to get a data center online quickly? As the data-center boom puts pressure on the grid, some companies say the answer isn't just more power plants but software that dials down centers' energy-guzzling ways when demand spikes. At the end of a tense and scoreless first half of a soccer match between the English men's team and rival Germany, millions of Brits let out a collective sigh and did what they so often do in moments of stress: They made tea. That wave of electric kettles clicking on, however, caused a different kind of stress: a huge and sudden increase in demand for electricity. But National Grid, which operates the local transmission network, was ready. Just as those kettles started heating up, an AI program sent instructions to a data center in London to slow down some of the facility's power-hungry chips. This reduction helped make sure there was enough supply to match demand, staving off potential blackouts or damage to electrical hardware.

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