Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
Leading power, open roots: Olmo 3 introduces full model flow transparency and traceability, combining top-tier performance with increased efficiency and cost savings to advance open and sustainable AI ...
WASHINGTON, Nov 18 (Reuters) - A divided U.S. Federal Reserve begins receiving updated economic reports from the now-reopened federal government this week as policymakers hope for clarity in their ...
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Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...
Logistic Properties of the Americas is growing revenue with new properties and higher rents, but faces FX headwinds, rising costs, and tight debt coverage. Mexico entry is a smart move for nearshoring ...
Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...
WASHINGTON — As the Pentagon races to define the future of missile defense under its ambitious Golden Dome initiative, industry leaders point to what could be the most daunting obstacle facing the ...
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.
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
Abstract: The well-known Erlang teletraffic models were estimated to guild the infrastructure construction in communication societies for stable data requirements. However, with the development of ...