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 ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

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, ...

University of Toronto provides funding as a founding partner of The Conversation CA. University of Toronto provides funding as a member of The Conversation CA-FR. But the debate is about whether these ...

Algorithmic systems have a way of making mistakes or leading to undesired consequences. Here are five principles to help technologists deal with that. Algorithms are now used throughout the public and ...