However, there have been limited substantive efforts to address bias at the level of the data used to generate algorithms in healthcare datasets. Objective: We create a simple metric (AEquity) that ...
Late last Thursday, Jalen Brunson added another clutch shot to his resume. Brunson hit a step-back 27-footer over Andrew Nembhard to give the short-handed Knicks a win at Indiana. Highlights of the ...
A newly enacted New York law requires retailers to say whether your data influences the price of basic goods like a dozen eggs or toilet paper, but not how. If you’re near Rochester, New York, the ...
Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...
LR was chosen as the best algorithm for model construction, and the model demonstrated excellent performance, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.866, a ...
Reflection AI, a startup founded just last year by two former Google DeepMind researchers, has raised $2 billion at an $8 billion valuation, a whopping 15x leap from its $545 million valuation just ...
Instagram is experimenting with bringing tools to control your own algorithm to Threads, its X rival. The feature was uncovered while in development by reverse engineer Alessandro Paluzzi, who ...
This study analyses the experience of integrating sustainable development modules into the curricula of two Kazakh universities. Unlike most Western models, the project is adapted to the conditions of ...
Abstract: This paper presents a description and application example of an integrated model that combines machine learning with traditional carbon emission prediction models based on impact factors.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback