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 ...

Machine learning & AI

Replica theory shows deep neural networks think alike

How do you know you are looking at a dog? What are the odds you are right? If you're a machine-learning algorithm, you sift through thousands of images—and millions of probabilities—to arrive at the "true" answer, but ...

Energy & Green Tech

Predicting the energy balance algorithmically

A team in Turkey has tested different machine-learning algorithms for predicting electricity demand from different sources. They trained the algorithms on electricity demand data for the period 2000–2022 and used them to ...

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