Friday, August 08, 2008

Kayobi Clothing drops first shirt

Hi years of hopes, dreams and talk have finally led to the first t-shirt from my clothing line being printed today and it has all been due to the grace of God and my savior Jesus through whom i have enjoyed a wonderful and privileged life with abundant imagination for my designs.

This shirt is just a teaser for what is to come.
Shirt title:Piece (Peace) in Africa
Aim:Anti war/Anti Guns/Striving for African Peace through Art and Fashion
Inspired by:Mozambique turns arms into art
Mozambican artists have decommissioned weapons in a graphic way, taking them apart and using the remains to make a range of novel and eloquent sculptures

Please check out the Link here
I hope u like it - Let me know your thoughts

Kayobi Clothing outdores Logo

Finally the logo's for the kayobi Line are out - let me know which ones u like

Kwabena Boahen: Making a computer that works like the brain


http://www.ted.com/index.php/talks/kwabena_boahen_on_a_computer_that_works_like_the_brain.html

Kwabena Boahen wants to understand how brains work -- and to build a computer that works like the brain by reverse-engineering the nervous system. His group at Stanford is developing Neurogrid, a hardware platform that will emulate the cortex’s inner workings.

Why you should listen to him:

Kwabena Boahen is the principal investigator at the Brains in Silicon lab at Stanford. He writes of himself:

Being a scientist at heart, I want to understand how cognition arises from neuronal properties. Being an engineer by training, I am using silicon integrated circuits to emulate the way neurons compute, linking the seemingly disparate fields of electronics and computer science with neurobiology and medicine.

My group's contributions to the field of neuromorphic engineering include a silicon retina that could be used to give the blind sight and a self-organizing chip that emulates the way the developing brain wires itself up. Our work is widely recognized, with over sixty publications, including a cover story in the May 2005 issue of Scientific American.

My current research interest is building a simulation platform that will enable the cortex's inner workings to be modeled in detail. While progress has been made linking neuronal properties to brain rhythms, the task of scaling up these models to link neuronal properties to cognition still remains. Making the supercomputer-performance required affordable is the goal of our Neurogrid project. It is at the vanguard of a profound shift in computing, away from the sequential, step-by-step Von Neumann machine towards a parallel, in

Kwabena Boahen: Making a computer that works like the brain

http://www.ted.com/index.php/talks/kwabena_boahen_on_a_computer_that_works_like_the_brain.html

Take from:

http://www.ted.com/index.php/talks/kwabena_boahen_on_a_computer_that_works_like_the_brain.html

Kwabena Boahen wants to understand how brains work -- and to build a computer that works like the brain by reverse-engineering the nervous system. His group at Stanford is developing Neurogrid, a hardware platform that will emulate the cortex’s inner workings.

Why you should listen to him:

Kwabena Boahen is the principal investigator at the Brains in Silicon lab at Stanford. He writes of himself:

Being a scientist at heart, I want to understand how cognition arises from neuronal properties. Being an engineer by training, I am using silicon integrated circuits to emulate the way neurons compute, linking the seemingly disparate fields of electronics and computer science with neurobiology and medicine.

My group's contributions to the field of neuromorphic engineering include a silicon retina that could be used to give the blind sight and a self-organizing chip that emulates the way the developing brain wires itself up. Our work is widely recognized, with over sixty publications, including a cover story in the May 2005 issue of Scientific American.

My current research interest is building a simulation platform that will enable the cortex's inner workings to be modeled in detail. While progress has been made linking neuronal properties to brain rhythms, the task of scaling up these models to link neuronal properties to cognition still remains. Making the supercomputer-performance required affordable is the goal of our Neurogrid project. It is at the vanguard of a profound shift in computing, away from the sequential, step-by-step Von Neumann machine towards a parallel, in