Showing posts from October, 2019

Aritificial Alien Intelligence

Like fashion, even scientific research is subjected to cyclical fads. Topics, techniques come into limelight and then fall out of favor when the gains plateau.  In machine learning, NNs were in vogue in early 90s when SVM came onto the scene and blew them out of water on almost every problem and then got superseded in turn by the log-linear models, CRFs and others. Then in beginning of this decade, NNs have made a tremendous come back, this time becoming the tool of choice for NLP as well. Due to their name and a very crude similarity to how the biological brain is organized, NNs tend to invite comparisons with human brain and every improvement achieved with their help tends to be seen as an step towards Artificial General Intelligence, at least in popular media and common people.  Now, what would happen if tomorrow a different method, a different paradigm of Machine Learning were start performing better than NNs? There is no reason why it could not happen AFAIK. We do not