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 ...

Computer Sciences

Brain-inspired chaotic spiking backpropagation

Since it was discovered in the 1980s that learning in the rabbit brain utilizes chaos, this nonlinear and initially value-sensitive dynamical behavior has been increasingly recognized as integral to brain learning.

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 ...

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