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.