Latent Semantic Indexing (LSI) is used widely today in Semantic Search and has many other uses in Deep Machine Learning. This is a pretty good explanation/visualization from 40 years ago.

Eccerobot At the swissnex San Francisco conference earlier this year, scientists from Switzerland and the US discussed their research on humanoid robots, cognitive robotics, and artificial intelligence (AI). Talk revolved around how some robots self-reflect, self-improve, and adapt to new circumstances, and whether it’s possible for robots of the future to possess the same cognitive characteristics as humans. more …

From the website: John was a legendary computer scientist at Stanford University who developed time-sharing, invented LISP, and founded the field of Artificial Intelligence.* In March 2011 John launched Project JMC with the objective to make his work more approachable and accessible. The Project JMC team is continuing to help realize his objective. In this site you will find all John’s work, including his social commentary, and acknowledgements of his outstanding contributions and impact.

How do robots see the world? How do they gather meaning from our streets, cities, media and from us? This is an experiment in found machine-vision footage, exploring the aesthetics of the robot eye.

Artificial Intuition – A New Possible Path To Artificial Intelligence – by Monica Anderson Artificial Intelligence was born in Computer Science departments, and inherited their value sets including Correctness. This mindset, this necessity to be logical, provable, and correct has been a fatal roadblock for Artificial Intelligence since its inception. The world is Bizarre, and Logic can not describe it. Artificial Intuition will easily outperform Logic based Artificial Intelligence for almost any problem in a Bizarre problem domain.