Adam Aleksic talks about his new book 'Algospeak,' which details how algorithms are changing our vocabulary; plus, we check ...

Google’s DeepMind AI group has released a reinforcement learning tool that can develop extremely optimized algorithms. It does this without first being trained on human code examples because it ...

For example, the certificate of bubblesort applies to any sorting algorithm. Another useful consequence is it allows a reduction from one problem specification to another, so one can set up a ...

We researches a new iterative algorithm for quadratic programming problem based on the modified Uzawa algorithm and the ALPMHSS iteration algorithm in this paper. And we obtains the convergence ...

Here we will look at real-world examples, good and bad, that illustrate the benefits of transparent AI and the dangers of obscure or unexplainable algorithms.

People are better able to see and correct biases in algorithms’ decisions than in their own decisions, even when algorithms are trained on their decisions.

Because people train algorithms on their decisions – for example, algorithms that make recommendations on e-commerce and social media sites – algorithms learn and codify human biases.

All you need to know about your coding interview includes algorithms, data structure, oops, design patterns, recursion, graph theory, tree traversal, combinatorial problems.