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The Ebike Accessories You Need to Help You Haul the Most Stuff

WIRED

An unadorned ebike is a blank canvas. Here, get tips for maximizing its cargo-hauling and person-carrying capabilities. When my wife and I bought our first ebike--a Radwagon 4 by the Seattle-based Rad Power Bikes --four years ago, we did so to replace one of our two family cars. For in-town trips of 5 miles or less, we figured we could (and should!) use the bicycle. At the time, our kids were very young, so we needed a bike capable of safely carting them around and also handling whatever we were hauling on a given day.


Rising Sea Levels Are Already Remaking Reality in This North Carolina Community

TIME - Tech

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You Can't Separate Juneteenth From the Call for Reparations

TIME - Tech

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85ec26ef94c3acb4c195e905df1ff4f7-Paper-Conference.pdf

Neural Information Processing Systems

Machine unlearning techniques aim to mitigate unintended memorization in large language models (LLMs). However, existing approaches predominantly focus on the explicit removal of isolated facts, often overlooking latent inferential dependencies and the non-deterministic nature of knowledge within LLMs. Consequently, facts presumed forgotten may persist implicitly through correlated information. To address these challenges, we propose a knowledge unlearning evaluation framework that more accurately captures the implicit structure of real-world knowledge by representing relevant factual contexts as knowledge graphs with associated confidence scores. We further develop an inference-based evaluation protocol leveraging powerful LLMs as judges; these judges reason over the extracted knowledge subgraph to determine unlearning success. Our LLM judges utilize carefully designed prompts and are calibrated against human evaluations to ensure their trustworthiness and stability. Extensive experiments on our newly constructed benchmark demonstrate that our framework provides a more realistic and rigorous assessment of unlearning performance. Moreover, our findings reveal that current evaluation strategies tend to overestimate unlearning effectiveness.


America's Time Capsule includes fabric from the Wright Brother's plane, whale bone, poker chips, and more

Popular Science

Science Archaeology America's Time Capsule includes fabric from the Wright Brother's plane, whale bone, poker chips, and more The time capsule will remain sealed in Philadelphia for 250 years. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The state of Ohio included fabric from the Wright Brothers' 1903 flight at Kitty Hawk, North Carolina. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .


What to do if your cat gets stuck in a tree

Popular Science

Take a paws and run through these three solutions from a cat-rescue expert. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy . There may be no more idyllic trope than the housecat stuck in a tree.


Americans echo Pope Leo's concerns about AI: 'It threatens workers, privacy and human life'

The Guardian

Pope Leo XIV speaks during a meeting with bishops, members of the clergy and families whose members have been victims of environmental pollution at the Cathedral of Santa Maria Assunta, in Acerra, Italy, on 23 May 2026. Pope Leo XIV speaks during a meeting with bishops, members of the clergy and families whose members have been victims of environmental pollution at the Cathedral of Santa Maria Assunta, in Acerra, Italy, on 23 May 2026. Americans echo Pope Leo's concerns about AI: 'It threatens workers, privacy and human life' Guardian readers in the US spoke of fears about unregulated AI in response to the pope's encyclical warning about the risks of the technology I n his first major papal text since assuming leadership of the Catholic church last year, Pope Leo issued a stark warning about the rise of artificial intelligence this week, denouncing the "culture of power" driving the AI age. Calling for the "most rigorous" ethical constraints on AI - which he described as one of the greatest threats facing humanity today - the first US-born pope also warned of "new forms of slavery" emerging through the digital economy. Speaking to the Guardian, readers in the US echoed the pope's concerns, describing AI as an "unregulated" industry increasingly being used to the "detriment of too many people", while also raising fears about surveillance, labor displacement, war and environmental harm .


Papa Johns drone delivery skips the pizza

FOX News

Papa Johns launches drone delivery testing with Wing in Indian Trail, North Carolina, starting with sandwiches while custom pizza packaging is developed for future flights.


Papa Johns Is Getting Into Drone Delivery--but Not for Pizza

WIRED

A new collaboration with Alphabet's Wing will only deliver sandwiches. It demonstrates the tricky parts of taking to the sky. Starting today, eager customers of the US pizza restaurant chain Papa Johns living in one corner of southern North Carolina will have the opportunity to receive their food from the sky, thanks to a new collaboration with Alphabet's drone company, Wing . But Papa Johns' signature pizzas won't be on offer. Instead, drone-loving North Carolinians will have to choose between three kinds of sandwiches, a newer product for the fast-food chain: Philly cheesesteak, chicken bacon ranch, or steak and mushroom varieties.


Nonparametric Estimation of Isotropic Covariance Function

arXiv.org Machine Learning

A nonparametric model using a sequence of Bernstein polynomials is constructed to approximate arbitrary isotropic covariance functions valid in $\mathbb{R}^\infty$ and related approximation properties are investigated using the popular $L_{\infty}$ norm and $L_2$ norms. A computationally efficient sieve maximum likelihood (sML) estimation is then developed to nonparametrically estimate the unknown isotropic covaraince function valid in $\mathbb{R}^\infty$. Consistency of the proposed sieve ML estimator is established under increasing domain regime. The proposed methodology is compared numerically with couple of existing nonparametric as well as with commonly used parametric methods. Numerical results based on simulated data show that our approach outperforms the parametric methods in reducing bias due to model misspecification and also the nonparametric methods in terms of having significantly lower values of expected $L_{\infty}$ and $L_2$ norms. Application to precipitation data is illustrated to showcase a real case study. Additional technical details and numerical illustrations are also made available.