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Cathy O'Neil, a data scientist and founder ... O'Neil laid out the various ways that algorithms can go wrong. She told the story of the value-added algorithmic model for evaluating New York ...
Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...
In AI, is data more important than algorithms? originally appeared on ... if you have to train a model to translate from English to Spanish, all you need to do is gather a huge dataset and train ...
meaning it is the algorithms that turn a data set into a model. Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you ...
details how a machine-learning algorithm model called life2vec predicted the outcome of a person’s life and their actions when presented with highly specific data about them. With that data ...
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Mapping dynamical systems: New algorithm infers hypergraph structure from time-series data without prior knowledgeHowever, using their new algorithm, Zhang and his collaborators unearthed a hypergraph model that accurately captured connections in the EEG data among three or more regions. That suggests higher ...
A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip design, and fine-tunes large language models.
Smartwatches are among the wearable devices that gather health data ... learning model on ones that are hard to gather. By improving pretraining, we are making machine-learning algorithms better ...
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