^Tagevolutionary computing

At Science earlier this year, we were told that “Researchers have created software that borrows concepts from Darwinian evolution, including ‘survival of the fittest,’ to build AI programs that improve generation after generation without human input.” Critics say it’s not that easy. Computer scientist Roman Yampolskiy (pictured) discusses the problem in an open access paper, starting with a joke: On April 1, 2016 Dr. Yampolskiy posted the following to his social media accounts: “Google just announced major layoffs of programmers. Future software development and updates will be done mostly via recursive self-improvement by evolving deep neural networks”. The joke got a number of “likes” but also, interestingly, a few requests from journalists for interviews on this “developing story”. To non-experts Read More ›