Abstract: Data augmentation (DA) tailored to instances is vital for instance segmentation to improve model robustness and accuracy without high manual annotation costs. Existing erasing methods risk ...

Gold up 11.5% so far this month Payrolls data likely to be delayed if government shutdown occurs Gold on track for best month since August 2011 Silver on track for best month since July 2020 Sept 30 ...

Opus Genetics has shared data on its gene therapy in children with an ultrarare eye disease, setting the biotech up to talk to the FDA about the next steps for the program. North Carolina-based Opus ...

The removal of the num=100 parameter triggered sharp drops in Google Search Console impressions, rankings, and keyword visibility. Google’s removal of the num=100 parameter is massively reshaping SEO ...

Abstract: Deep learning models have greatly improved various natural language processing tasks. However, their effectiveness depends on large data sets, which can be difficult to acquire. To mitigate ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Following multiple requests from readers, the Herald is releasing the full dataset of purchases made by state agencies using their procurement cards, or P-Cards, as provided by the state comptroller’s ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

MICHIGAN CITY, Ind — Developers plan to turn a former windshield wiper plant on Royal Road into a data center, without asking the city for a tax break. The project, called Project Maize, is expected ...

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There’s been a “targeted, surgical removal of data sets, or elements of data sets, that are not aligned with the administration’s priorities,” said Denice Ross at the Federation of American Scientists ...