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

New logarithmic step size for stochastic gradient descent

The step size, often referred to as the learning rate, plays a pivotal role in optimizing the efficiency of the stochastic gradient descent (SGD) algorithm. In recent times, multiple step size strategies have emerged for ...

Software

New apps help researchers with statistical analyses of data

It's a sign of the times: an app store for omics enthusiasts. The Multi-Omics Analysis Portal (MAP) by the end of 2024 will be a one-stop shop for computer applications capable of making sense of various and vast omics data. ...

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