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'2001: A Space Odyssey' movie prop may sell for over 1 million

Popular Science

Technology '2001: A Space Odyssey' movie prop may sell for over $1 million The'Star Child,' creepy twin dresses, and more from Stanley Kubrick's personal archive are up for auction. 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. Film director and screenwriter Stanley Kubrick (1928 - 1999) finds his shot on the set of "2001: A Space Odyssey" at the MGM British Studios in Borehamwood, Hertfordshire in 1966. On the left is American actor Keir Dullea in a spacesuit. Now is your chance to own as many pieces of film history as your bank account will allow.


AI's real bottleneck is electricity. Who will pay for it?

Al Jazeera

AI's real bottleneck is electricity. Who will pay for it? Share AI's real bottleneck is electricity. Who will pay for it? Within a week, two of the three largest cloud computing companies in the world signed 20-year contracts for nuclear electricity.


Family row over George Michael items up for auction - including Faith guitar

BBC News

A family row has broken out over an auction of George Michael memorabilia taking place on Thursday. The guitar played by the singer-songwriter in the Faith music video is one of several items being auctioned by Sworders from the collection of Siobhan Bailey, Michael's long-time personal assistant. Siobhan died in 2014 and the items are being sold by her estranged husband Ian Belcher, who inherited them after her death. Gerard Bailey, Siobhan's brother, told the BBC she would be horrified at the prospect of the auction being held in her name and that her personal, cherished possessions are being sold off to the highest bidder. Both Sworders and Belcher declined to comment.


Nanotyrannus named Jodi needs a new home (if you have 9M)

Popular Science

The controversial dinosaur species was officially described last year after 80 years of debate. 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. Almost one year ago, paleontologists finally settled a longstanding debate about, arguably Earth's most famous dinosaur . After reviewing decades of mounting evidence, researchers documented around 150 morphological differences across multiple supposed juvenile skeletons. Instead of young dinosaurs, these were actually adult examples of an entirely separate species now known as .


The 'Holy Grail' of baseball cards is up for auction

Popular Science

Science The'Holy Grail' of baseball cards is up for auction The rare T206 Wagner card could sell for over $3 million on October 25. 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. A similar Wagner baseball card auctioned for over $5 million earlier this year. One of history's most famous baseball cards is up for auction, and bidding has already surpassed $1 million with days left to go. Its official name of the 1909-11 T206 White Border Sweet Caporal 150/25 Honus Wagner PSA Authentic (Restored) is quite the mouthful, but Heritage Auction's nickname for the memorabilia is much easier to remember.


FTC and 22 states sue Amazon for allegedly inflating ad prices for 1.2 million advertisers

Mashable

Trending Now Say More Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Switch Off Creator Playbook Mashable Voices Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List In My Bag All Series FTC and 22 states sue Amazon for allegedly inflating ad prices for 1.2 million advertisers Amazon denies misleading advertisers and says its system helped businesses save billions of dollars. Olivia Tauber is the deputy editor of digital culture, covering creators, media, movies, beauty, and more. Based in New York, her work has appeared in The New York Times, Vanity Fair, The Cut, Teen Vogue, Complex, and Interview Magazine. She holds a Master's degree in Journalism from NYU and a Bachelor's from the University of Michigan. She also runs Fan Mail, a weekly pop-culture newsletter.


Rare Super Mario Bros./Duck Hunt variant discovered, to auction this week

Mashable

Look Up Say More Creator Hub Gift Ideas For Everyone On Your List Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Versus Switch Off Trending Now Safety Net In My Bag VidCon with Mashable All Series Rare'Super Mario Bros.'/'Duck Hunt' variant discovered, to auction this week The NES cartridges appear to have come from a previously unknown run of the games. Amanda Yeo is an Assistant Editor at Mashable, covering entertainment, culture, tech, science, and social good. Based in Australia, she writes about everything from video games and K-pop to movies and gadgets. Almost 100 rare Nintendo cartridges have been discovered in a Wisconsin retro games store, with a handful of them to go up for auction this week. The individually wrapped Duck Hunt NES cartridges appear to have come from a previously unknown run of the games, with collectors having been unaware of their existence until now.


Sotheby's Big T. Rex Auction Raises Concerns Hype and Wealth Are Upending Science

WIRED

Sotheby's Big Auction Raises Concerns Hype and Wealth Are Upending Science Private buyers are increasingly outbidding museums for fossils. That's making it difficult--or even impossible--for researchers to improve our understanding of the past. Forget the sale of the century. The auction house Sotheby's is gearing up for the sale of the epoch. On July 14 it will open live bidding on assorted fossils, but the piรจce de rรฉsistance is lot 20, a rare 67-million-year-old skeleton.


Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards

Neural Information Processing Systems

Online advertising platforms use automated auctions to connect advertisers with potential customers, requiring effective bidding strategies to maximize profits. Accurate ad impact estimation requires considering three key factors: delayed and long-term effects, cumulative ad impacts such as reinforcement or fatigue, and customer heterogeneity. However, these effects are often not jointly addressed in previous studies. To capture these factors, we model ad bidding as a Contextual Markov Decision Process (CMDP) with delayed Poisson rewards. For efficient estimation, we propose a two-stage maximum likelihood estimator combined with data-splitting strategies, ensuring controlled estimation error based on the first-stage estimator's (in)accuracy. Building on this, we design a reinforcement learning algorithm to derive efficient personalized bidding strategies. This approach achieves a near-optimal regret bound of O(dH2 T), where d is the contextual dimension, H is the number of rounds, and T is the number of customers. Our theoretical findings are validated by simulation experiments.


Procurement Auctions with Predictions: Improved Frugality for Facility Location

Neural Information Processing Systems

We study the problem of designing procurement auctions for the strategic uncapacitated facility location problem: a company needs to procure a set of facility locations in order to serve its customers and each facility location is owned by a strategic agent. Each owner has a private cost for providing access to their facility (e.g., renting it or selling it to the company) and needs to be compensated accordingly. The goal is to design truthful auctions that decide which facilities the company should procure and how much to pay the corresponding owners, aiming to minimize the total cost, i.e., the monetary cost paid to the owners and the connection cost suffered by the customers (their distance to the nearest facility). We evaluate the performance of these auctions using the frugality ratio. We first analyze the performance of the classic VCG auction in this context and prove that its frugality ratio is exactly 3. We then leverage the learning-augmented framework and design auctions that are augmented with predictions regarding the owners' private costs. Specifically, we propose a family of learning-augmented auctions that achieve significant payment reductions when the predictions are accurate, leading to much better frugality ratios. At the same time, we demonstrate that these auctions remain robust even if the predictions are arbitrarily inaccurate, and maintain reasonable frugality ratios even under adversarially chosen predictions. We finally provide a family of "error-tolerant" auctions that maintain improved frugality ratios even if the predictions are only approximately accurate, and we provide upper bounds on their frugality ratio as a function of the prediction error.