avila
Minor League pitcher throws down a wild NSFW celebration after catching soft line drive
Junior hockey team fined after scout compliments female reporter's appearance Caitlin Clark says'I honestly could have probably got a couple more calls' in Fever's season opener PK Subban makes good on commitment, donates $10M to Montreal Children's Hospital Golfer Mackenzine Hughes sticks a tee shot on the green after it bounces off a cameraman's head Is Avalanche star Nathan MacKinnon a psychopath for wearing flippers and goggles in the hotel pool? Kevin Durant's media company says Caitlin Clark is the third most marketable WNBA player Rally erupts at California girls' track meet amid trans feud between White House and Newsom's office Tyreek Hill's court battle with OnlyFans model who accused him of breaking her leg ends with shocking twist Best bet for Caitlin Clark's points prop in Dallas Wings at Indiana Fever 2026 WNBA season opener Fernando Tatis Jr. ripped for embarrassing fielding blunder that led to little league grand slam Women's tennis legend speaks out on California trans athlete controversy as Newsom faces criticism Dale Earnhardt Jr. buries mouthy NASCAR fan who attempted to insult his intelligence I don't buy that Iran has a'divided government,' US Navy captain says Democratic congressman blames Trump for disruption of world's oil supply Putin is'really worried' about Ukrainian drone strikes: National security expert OH, DEER!: Nursing home receives unexpected visitor Does the U.S. Still Need NATO? What Will Trump Do in China? The announcer said Avila was'entertaining the children in attendance with some gyrations' after the third out Reliving one of the most unhinged (and unforgettable) moments in baseball history--Lee Elia's 1983 Cubs rant--43 years later. Ricky Cobb breaks it down, celebrates the chaos, and adds his own comedic spin to a tirade that somehow only gets better.
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The '10 Martini' Proof Connects Quantum Mechanics With Infinitely Intricate Mathematical Structures
The proof, known to be so hard that a mathematician once offered 10 martinis to whoever could figure it out, uses number theory to explain quantum fractals. In 1974, five years before he wrote his Pulitzer Prize-winning book, Douglas Hofstadter was a graduate student in physics at the University of Oregon. When his doctoral adviser went on sabbatical to Regensburg, Germany, Hofstadter tagged along, hoping to practice his German. The pair joined a group of brilliant theoretical physicists who were agonizing over a particular problem in quantum theory. They wanted to determine the energy levels of an electron in a crystal grid placed near a magnet. Hofstadter was the odd one out, unable to follow the others' line of thought. "Part of my luck was that I couldn't keep up with them," he said.
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Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning
Thil, Lucas-Andreï, Popa, Mirela, Spanakis, Gerasimos
Recent advancements in language models have demonstrated remarkable improvements in various natural language processing (NLP) tasks such as web navigation. Supervised learning (SL) approaches have achieved impressive performance while utilizing significantly less training data compared to previous methods. However, these SL-based models fall short when compared to reinforcement learning (RL) approaches, which have shown superior results. In this paper, we propose a novel approach that combines SL and RL techniques over the MiniWoB benchmark to leverage the strengths of both methods. We also address a critical limitation in previous models' understanding of HTML content, revealing a tendency to memorize target elements rather than comprehend the underlying structure. To rectify this, we propose methods to enhance true understanding and present a new baseline of results. Our experiments demonstrate that our approach outperforms previous SL methods on certain tasks using less data and narrows the performance gap with RL models, achieving 43.58\% average accuracy in SL and 36.69\% when combined with a multimodal RL approach. This study sets a new direction for future web navigation and offers insights into the limitations and potential of language modeling for computer tasks.
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- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (0.86)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.72)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.69)
Utility Assessment of Synthetic Data Generation Methods
Khan, Md Sakib Nizam, Reje, Niklas, Buchegger, Sonja
Big data analysis poses the dual problem of privacy preservation and utility, i.e., how accurate data analyses remain after transforming original data in order to protect the privacy of the individuals that the data is about - and whether they are accurate enough to be meaningful. In this paper, we thus investigate across several datasets whether different methods of generating fully synthetic data vary in their utility a priori (when the specific analyses to be performed on the data are not known yet), how closely their results conform to analyses on original data a posteriori, and whether these two effects are correlated. We find some methods (decision-tree based) to perform better than others across the board, sizeable effects of some choices of imputation parameters (notably the number of released datasets), no correlation between broad utility metrics and analysis accuracy, and varying correlations for narrow metrics. We did get promising findings for classification tasks when using synthetic data for training machine learning models, which we consider worth exploring further also in terms of mitigating privacy attacks against ML models such as membership inference and model inversion.
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'Smart cities' urged to look beyond rich white men and target those in need
BARCELONA, SPAIN – A growing push to put cities on a digital path to a greener future risks excluding groups like the poorest, disabled and elderly, and will fail to benefit those people unless technology is used to help meet their needs, rights advocates have warned. They also called for women to be given a bigger say in urban planning that is based on high-tech tools such as big data and artificial intelligence, while speaking at an international conference on "smart cities" in Barcelona this week. "My fear is that smart cities end up benefiting the elite white men," said Catherine D'Ignazio, an assistant professor at Massachusetts Institute of Technology. In the United States, she said, national politics and other social spheres are shaped by "the privilege hazard," in which a small, dominant group -- often of rich, older men -- make decisions for others whose lives and experiences they know little about. One way to counteract that is to produce and use data that dive into key areas of discrimination, such as gender and race, she added. Berkeley-based consultancy World Enabled, which works for the inclusion of people with disabilities, collaborated with the University of California to analyze nearly 1,200 projects with digital elements run by six international development agencies.
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