Hude Quan, Vijaya Sundararajan, Patricia Halfon, Andrew Fong, Bernard Burnand, Jean-Christophe Luthi, L. Duncan Saunders, Cynthia A. Beck, Thomas E. Feasby, William A ...

Successive Linear Programming (SLP) algorithms solve nonlinear optimization problems via a sequence of linear programs. They have been widely used, particularly in the oil and chemical industries, ...

Thinking about getting good at competitive programming, especially on a platform like CodeChef? It can seem like ...

This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal ...

Alphabet’s AI lab DeepMind says it’s created an AI coding engine that is as good as the average human programmer. However, the system was only tested on specific coding challenges that do not ...

By contrast, in order to program independently, one must understand the underlying concepts in programming—variables, lists, conditionals, loops and functions, for example—and then know when, where ...

While these computer literacy skills are complementary, computer science focuses more on logical reasoning, data and analysis, algorithms and programming, the impacts of computing and structured ...

Alongside AI programming tools, it provides general-purpose large language models that compete with OpenAI’s algorithms. The company also offers tools that enterprises can use to build AI agents.

As the year draws to a close, it is a good time to consider where different technologies are going and what we can expect not just next year but in the years that follow.