Epstein Secrets

y received. > thanks!! ;) > ben > Ben Goertzel. PhD > "My humanity is a constant self-overcoming" -- Friedrich Nietzsche Ben Goertzel, PhD CEO, Novamente LLC and Biomind LLC CTO, Genescient Corp Chairman, Humanity+ Adjunct Professor of Cognitive Science, Xiamen University, China Advisor, Singularity Uni

DeSTIN (distinct from his commercial one) to CUDA, a parallel processing language that runs on Nvidia graphics cards. This should enable us to run DeSTIN scalably for robot vision. thx ben On Fri, May 27, 2011 at 5:29 PM, Ben Goertzel <ben@goertzeLorg> wrote: > Hi Jeffrey, > Thanks so much for you

ase you didn't get his email or didn't grok his situation fully etc.... thanks a lot, ben EFTA_R1_01689913 EFTA02540873 Ben Goertzel, PhD CEO, Novamente LLC and Biomind LLC CTO, Genescient Corp Chairman, Humanity+ Adjunct Professor of Cognitive Science, Xiamen University, China Advisor, Singularity Uni

ow links into my OpenCog framework.... He views DeSTIN as an autonomous approach to human-level AGI, which I'm a bit skeptical of, but I want to use DeSTIN as a perceptual processing lobe within OpenCog, and I've had a student in China (actually a Dutch guy in China for a 6 month internship) working on

project was funded 9/10 by the Hong Kong government (specifically the ITF "Innovation in Technology Foundation"), and 1/10 by my consulting company Novamente LLC (which got the money indirectly from you, via your donation to the nonprofit org Humanity+). I have been working on the OpenCog AGI project part-t

eal with for the Robokind project, that we aren't needing to deal with for the current game-Al project, is machine vision. For this we will use the DeSTIN framework, currently being improved my someone working for me as I noted above. This funding for the robotics project is of a similar nature to the

- the Webmind Al Engine created in Intelligenesis's research group during 1997-2001 was the predecessor to the Novamente Cognition Engine created at Novamente LLC during 2001-2008, which was the predecessor to CogPrime. Acknowledgements For sake of simplicity, this acknowledgements section is presented from

spatiotemporally hier- archical deep learning system is an effective way to handle representation and learning of low-level sensorimotor knowledge. DeSTIN is one example of a deep learning system of this nature that can be effective in this context. i. One effective way to handle goals is to represent

— the Webmind AI Engine created in Intelligenesis’s research group during 1997-2001 was the predecessor to the Novamente Cognition Engine created at Novamente LLC during 2001-2008, which was the predecessor to CogPrime. Acknowledgements For sake of simplicity, this acknowledgements section is presented from t

a spatiotemporally hier- archical deep learning system is an effective way to handle representation and learning of low-level sensorimotor knowledge. DeSTIN is one example of a deep learning system of this nature that can be effective in this context. i. One effective way to handle goals is to represent