Computer Sciences

Researchers create new classification of chess openings

Using real data from an online chess platform, scientists of the Complexity Science Hub and the Centro Ricerche Enrico Fermi (CREF) studied similarities of different chess openings. Based on these similarities, they developed ...

Machine learning & AI

New insights into training dynamics of deep classifiers

A new study from researchers at MIT and Brown University characterizes several properties that emerge during the training of deep classifiers, a type of artificial neural network commonly used for classification tasks such ...

Business

Finding the company (or companies) of peers

People at school, places of employment and many other settings often consider it worthwhile to find a group of peers to work or socialize with. But it can also be useful to organize companies into groups of peers, says Manish ...

Computer Sciences

An AI that 'de-biases' algorithms

We've learned in recent years that AI systems can be unfair, which is dangerous, as they're increasingly being used to do everything from predicting crime to determining what news we consume. Last year's study showing the ...

Computer Sciences

New mitigation framework reduces bias in classification outcomes

We use computers to help us make (hopefully) unbiased decisions. The problem is that machine-learning algorithms do not always make fair classifications if human bias is embedded in the data used to train them—which is ...

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