Computer Sciences news

Computer Sciences

End of black box AI? Scientists develop blueprint for transparent system that reveals how it learns and makes decisions

Artificial intelligence that cannot explain how it makes decisions—often called "black box" AI—could soon be replaced by more transparent systems, research suggests. A study by Loughborough University, published in Physica ...

Computer Sciences

What skills do people need to successfully program with AI?

The new trend of "vibe coding" allows people to program software without writing a single line of code. Now, a new study by ETH Zurich published in the Proceedings of the 2026 CHI Conference on Human Factors in Computing ...

Software

A new R package facilitates the generation of flowcharts for research studies

Representing the pathway of participants in a study is a key element in clinical and epidemiological research. Flow diagrams are the standard tool to do so, as they allow the different stages of the process to be clearly ...

Computer Sciences

Can AI quantify beauty? New study suggests it can't

Attempts to define human beauty using artificial intelligence may reveal more about bias in data than universal standards, according to a new analysis from the University of Virginia's School of Data Science. Using computer ...

Computer Sciences

Revealing the hidden logic behind AI's judgments of people

In a world where artificial intelligence is quietly shaping who gets hired, who receives loans, and even how medical decisions are made, a new question is emerging: How does AI judge us? A new study by Prof. Yaniv Dover and ...

Consumer & Gadgets

Can hyper-real virtual worlds make us feel better?

Virtual reality tools have untapped potential to elicit positive emotions for use in education, health care, architecture and psychological therapy, according to a recent study from Murdoch University that looked at four ...

Computer Sciences

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively simple forecasting strategy can outperform several leading machine learning forecasting models.

Computer Sciences

Helping resolve quantum computers' memory problem

A major problem with quantum computers is memory, as the information they contain can be quickly lost. Quantum computers are not yet fully reliable—they are far too unstable. However, all around the world, people are trying ...