The first part of this series demonstrates how Stockfish abstracts a chess position and how it quickly finds every possible move. Now, the engine must evaluate the quality of a move in order to pick the best one.
Most chess engines have the same blueprint: abstracting a chess position, finding all candidates moves, iterating through the tree of candidates until a given depth and assessing the relevance of those moves to find the best one. Their quality, however, is subject to the following criterias :
The quiet statisticians have changed our world; not by discovering new facts or technical developments, but by changing the ways that we reason, experiment and form our opinions. –Ian Hacking
Can you write a predictive function from observations which would minimize the error deviation? Or the average error? …
Machine Learning and Deep Learning are ongoing buzzwords in the industry. Branding ahead of functionalities led to Deep Learning being overused in many artificial intelligence applications.
This post will provide a quick grasp at constraint satisfaction, a powerful yet underused approach which can tackle a large number of problems in…
A n Australian PhD candidate in artificial intelligence made a recent post on LinkedIn about his researches on SARS-CoV-2. The post gathered thousands of views, likes, and shares.
He built a Deep Learning model which is able to predict whether a patient is infected with the COVID-19 virus or not…
