In this Artificial Intelligence podcast with Lex Fridman, computer scientist Donald Knuth discusses Alan Turing, Neural networks, machine learning and other AI topics from ant colonies and human ...

Primal methods constitute a common approach to solving (combinatorial) optimization problems. Starting from a given feasible solution, they successively produce new feasible solutions with ...

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

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

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Getting to the heart of causality is central to understanding the world around us. What causes one variable—be it a biological species, a voting region, a company stock, or a local climate—to shift ...

This is a preview. Log in through your library . Abstract Determining the composition of a chemical system at equilibrium is an important problem that arises in many fields of science and engineering.

A new study lays important groundwork for an automated system that can detect diabetic eye disease. The ability of artificial intelligence (AI) to help screen patients for a common diabetic eye ...

Here's the scenario: three assembly robots are gathered around a pile of parts that can be combined to make a chair. The robots recognize how the individual parts fit together -- a foot screws to a ...

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 combinations ...