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 ...

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 ...

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 ...

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 ...

Most medical algorithms were developed using information from people treated in Massachusetts, California, or New York, according to a new study. Those three states dominate patient data — and ...