All around us, algorithms are invisibly at work. They’re recommending music and surfacing news, finding cancerous tumors, and making self-driving cars a reality. But do people trust them? Not ...

Quantum computing will not deliver truly useful business results overnight, but the pace of progress is no longer linear; ...

For example, algorithms used in facial recognition technology have in the past shown higher identification rates for men than for women, and for individuals of non-white origin than for whites.

Previous adversarial examples have largely been designed in “white box” settings, where computer scientists have access to the underlying mechanics that power an algorithm. In these scenarios ...

For example, while algorithms are pretty good at booking travel, airlines have found that they can’t dispense with human reservation agents.

I love both of these examples, because I love the idea that we can take our own democratic action to make the world a bit less complicated. Alas, it is not that simple.

Here’s one high-profile example of what bias can do to an algorithm. In March 2016, Microsoft released “Tay”, which was an AI powered “social chatbot.” ...

This tutorial demonstrates the power of lambda expressions by contrasting implementations of a mathematical example using C++, Java without lambdas, and Java 8 with lambda expressions.