He is the author of the multi-volume work, the magnum opus, The Art of Computer Programming. He made several key contributions to the rigorous analysis of the computational complexity of algorithms.

Research from all publishers Recent work in probabilistic programming has sought to address both theoretical and computational challenges. For example, investigations into the intrinsic complexity ...

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

Because assembly lacks the formal structures and abstractions of higher-level programming, and because a single mistake can cause the algorithm to break, the game that the AI must play is no fun.

For complex equilibria, the use of a digital computer is required. The chemist often finds the use of current computer codes an inefficient and frustrating experience. This paper presents a globally ...

Google's AI program: Building better algorithms for detecting eye disease Date: March 13, 2018 Source: American Academy of Ophthalmology Summary: A new study lays important groundwork for an ...

Google is borrowing from Darwin to make a seismic leap in automatic machine learning. It could spell out the end of most human bias.

From predicting who will be a repeat offender to who’s the best candidate for a job, computer algorithms are now making complex decisions in lieu of humans. But increasingly, many of these algorithms ...

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 ...

Google voice search can now understand and answer more sophisticated questions than ever before. It can process questions that include superlatives, particular points in time, and complex ...