Jeff Hawkins, Numenta: “Prospects and Problems of Cortical Theory” This is the 10th and final talk given at the Redwood Center for Theoretical Neuroscience Inaugural Symposium UC Berkeley, October 7, 2005 Audio/Visual: sound, color Language: english Keywords: Theoretical Neuroscience; Cortex; Brain; AI, Memory; Hierarchy; Neural Networks Contact Information: Kilian Koepsell , Redwood Center for Theoretical […]

Google Tech Talks
January, 10 2008
ABSTRACT
Syllabus and Recommended Literature
This tech talk series explores the enormous opportunities afforded by the emerging field of quantum computing. The exploitation of quantum phenomena not only offers tremendous speed-ups for important algorithms but may also prove key to achieving genuine synthetic intelligence. We argue that understanding higher brain function requires references […]

Eliezer Yudkowsky is one of the world’s foremost researchers on Friendly AI and recursive self-improvement. He created the Friendly AI approach to AGI, which emphasizes the importance of the structure of an ethical optimization process and its supergoal, in contrast to the common trend of seeking the right fixed enumeration of ethical rules a moral […]

Check out more of Randy’s stuff here, and to learn more about Kolmogorov Complexity check the wikipedia link here.
In algorithmic information theory (a subfield of computer science), the Kolmogorov complexity (also known as descriptive complexity, Kolmogorov-Chaitin complexity, stochastic complexity, algorithmic entropy, or program-size complexity) of an object such as a piece of text is a […]