Why have algorithms become the focus of our collective societal ire in the digital era? Today’s collections of code are blamed for nearly every problem we confront today.

That’s why there is serious work underway to design new types of algorithms that are resistant to even the most powerful quantum computer we can imagine. What do these algorithms even do?

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

Algorithms based on Big Data are only as smart as the humans who make them. Skip to main content Mobile Navigation. Psychology Today. Find Counselling. Find a Therapist. Counsellors.

The A-level fiasco is a strong lesson in why we need to reconsider the importance of fairness in algorithms, their data and the mathematical models that govern them.

Through a series of mathematical transformations, we showed that the problem quantifying creativity could be reduced to a variant of network centrality problems – a class of algorithms that are ...

We know surprisingly little about the algorithms powering most social media analytics platforms. How can we make meaningful decisions based on the results of algorithms we know nothing about?

There are three key reasons why predictive algorithms can make big mistakes. 1. The Wrong Data. An algorithm can only make accurate predictions if you train it using the right type of data.