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30140 Posts
A United flight diverted after a passenger’s medical issue caused a ‘biohazard’ that made the crew vomit

A United flight diverted after a passenger’s medical issue caused a ‘biohazard’ that made the crew vomit

A United Airlines flight diverted and was deep-cleaned after a passenger's "medical issue" led to passengers vomiting, according to a recording of a pilot speaking to air-traffic controllers.The Boeing 737 was flying from Houston to Boston on Sunday but diverted to Washington Dulles Airport about two hours into the journey, per Flightradar24.In an air traffic control recording posted by flight tracking site RadarBox on X, a pilot says, "The crew is vomiting and passengers all around are asking for masks.""Especially with this kind of being a biohazard, I think we need to probably get this plane on the ground ASAP,"…
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On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs

On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs

arXiv:2407.19200v1 Announce Type: new Abstract: Recent advancements in NLP systems, particularly with the introduction of LLMs, have led to widespread adoption of these systems by a broad spectrum of users across various domains, impacting decision-making, the job market, society, and scientific research. This surge in usage has led to an explosion in NLP model interpretability and analysis research, accompanied by numerous technical surveys. Yet, these surveys often overlook the needs and perspectives of explanation stakeholders. In this paper, we address three fundamental questions: Why do we need interpretability, what are we interpreting, and how? By exploring these questions, we examine…
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Perplexity unveils revenue sharing plan for publishers

Perplexity unveils revenue sharing plan for publishers

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Perplexity will begin its revenue-sharing program with publishers with six publishing partners, though ads won’t appear until later this year.  The program will see Perplexity pay website owners for every source link in search results with ads running. Perplexity first announced the program during VentureBeat Transform 2024 earlier this month.  Perplexity chief product officer Dmitry Shevelenko told VentureBeat in an interview that the company wanted to lay the groundwork for revenue sharing now even if advertising on the platform will only…
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Hopsworks wants to make a splash with the industry’s first AI data lakehouse – SiliconANGLE

Hopsworks wants to make a splash with the industry’s first AI data lakehouse – SiliconANGLE

Swedish data lakehouse company Hopsworks AB is pitching what it says is the industry’s “first unified platform for building batch, real-time and large language model” artificial intelligence systems. In the Hopsworks 4.0 release, the company is enhancing its flagship platform with multiple new capabilities designed to help AI systems leverage real-time data, including a new feature store and vector database index system. The release, which will become generally available “soon”, also adds native Python access and more granular fine-tuning features for LLMs. The updates will enable teams to build AI systems of unparalleled scale and support the most challenging AI…
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Almost half of child-free Americans under 50 don’t think they’ll ever have kids. Most of them say they just don’t want to.

Almost half of child-free Americans under 50 don’t think they’ll ever have kids. Most of them say they just don’t want to.

The US fertility rate hit a historic low in 2023, and new research may provide some answers as to why.A report by the Pew Research Center published on July 25 shows that 47% of Americans younger than 50 and without children said they are unlikely to ever have kids, a 10-point rise from 2018. Fifty-seven percent of those Americans younger than 50 without children said the major reason they won't have any kids is that they just don't want to.Pew's report is based on surveys from April 29 to May 19 with 2,542 people ages 50 and older and 770…
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Boosted generalized normal distributions: Integrating machine learning with operations knowledge

Boosted generalized normal distributions: Integrating machine learning with operations knowledge

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol
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Perplexity will put ads in its AI search engine and share revenue with publishers

Perplexity will put ads in its AI search engine and share revenue with publishers

When people type a question into Perplexity, the two-year-old search engine scours the internet and uses information from multiple sources, including online publishers, to synthesize an answer using AI. Soon, Perplexity will start sharing revenue with some publishers as part of an advertising platform it plans to launch around the end of September, the company announced on Tuesday.The initiative, known as the Perplexity Publishers’ Program, comes less than two months after the San Francisco-based startup backed by investors like Jeff Bezos and NVIDIA, and valued at $3 billion, came under fire from Forbes, Wired, and Condé Nast for allegedly scraping…
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Region Guided Attention Network for Retinal Vessel Segmentation

Region Guided Attention Network for Retinal Vessel Segmentation

arXiv:2407.18970v1 Announce Type: new Abstract: Retinal imaging has emerged as a promising method of addressing this challenge, taking advantage of the unique structure of the retina. The retina is an embryonic extension of the central nervous system, providing a direct in vivo window into neurological health. Recent studies have shown that specific structural changes in retinal vessels can not only serve as early indicators of various diseases but also help to understand disease progression. In this work, we present a lightweight retinal vessel segmentation network based on the encoder-decoder mechanism with region-guided attention. We introduce inverse addition attention blocks with…
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