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 ...

New research shows that people recognize more of their biases in algorithms' decisions than they do in their own -- even when those decisions are the same. Algorithms were supposed to make our lives ...

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 ...

Joy Buolamwini and Kyle Chayka want you to know: Algorithms aren't that complicated. "To me, an algorithm is just a sequence of steps to achieve an outcome," says Buolamwini, a computer scientist and ...

Over the past several years, there has been a steady drumbeat of warnings about the impact of quantum computing on traditional encryption ...