Abstract: Seismic exploration relies heavily on high-quality data acquisition, but practical limitations often result in incomplete seismic data, violating the Nyquist sampling theorem and introducing ...

The reinsurance industry is built on data. Weather and climate data, according to Frank Nutter (pictured), president of the Reinsurance Association of America, isn’t coming from private labs or ...

What if you could predict a company’s financial future with precision, make data-driven decisions, and impress stakeholders, all using one tool? Excel, often underestimated as a simple spreadsheet ...

This repository hosts the publically available CIM Modeling Guide made available by the UCA International CIM Users Group. This official guide is managed and maintained by the CIM Model Management ...

At the beginning of the month, Tesla was found partly liable in a wrongful death lawsuit involving the death of a pedestrian in Florida in 2019. The automaker—which could have settled the case for far ...

More than half of sales leaders identify poor data quality as the biggest barrier to successful artificial intelligence adoption, and revenue operations are an often-overlooked function ready to ...

The software development world has been transformed by AI-powered coding assistants such as Cursor and Claude Code, which have changed how engineers write and debug code. These tools can generate ...

The potential applications of DTs extend beyond individual patient care to public health surveillance, hospital resource management, and epidemiological modeling. However, several challenges persist, ...

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A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.