Search Engine Mimics Human Thought Pattern, to Lead to Digital Brain Invention
“In order to achieve true Artificial Intelligence (AI), we have to make machines that are able to acquire knowledge in a scalable way, without human interaction, then use this knowledge to understand, answer questions, think and reason,” says Egyptian entrepreneur and AI researcher Haytham El Fadeel.
In 2008, El Fadeel started to build Kngine, which stands for Knowledge Engine, a semantic search engine that attempts to predict what a searcher really means when typing in a request. Conventional search engines navigate the user towards a particular web page or document, based on keywords, while a semantic search engine aims to understand the searcher’s intent and the contextual meaning of terms, in order to give complete answers.
Read more at wamda.com