Online algorithms are designed to make decisions sequentially, without complete knowledge of future inputs. In many real-world applications—from scheduling and resource allocation to network ...
Complexity theory is a fundamental branch of theoretical computer science that categorises computational problems according to their inherent difficulty and the resources required to solve them. At ...
Sorting algorithms are a common exercise for new programmers, and for good reason: they introduce many programming ...
Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...
Despite our growing reliance on algorithms, the Pew Research Center found that Americans are concerned with the fairness and effectiveness of computer programs that make important decisions in their ...
Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study shows how ...
Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...
Opacity in AI is a formal, academic description of what is more commonly referred to as, "What the heck is the algorithm doing?" It's a problem that is at the root of many ethical issues with AI. It ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback