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, ...

At its most basic, an algorithm is a series of instructions. As Sasha Luccioni, a research scientist on the ethical AI team at AI model builder ... said Jevan Hutson, a data privacy and security ...

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 ...

Data is everywhere in a connected ... should know about college admissions algorithms and how they can affect their chances of acceptance. Econometric modeling is a commonly used tool in college ...

Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the computing resources ...

However, 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 ...

Other researchers have shown how ordinary deep-learning algorithms, such as those used to classify images, can be manipulated by attacks on the training data ... AI model might affect many ...