Towards Solving the enigma of a human brain using multi-dimensional binary number system

The ultimate achievement of the computer architects of tomorrow will be judged based on our success in winning the brain and ndash;imitation game. After almost 70 years of research work, most researchers of today remain unconvinced that building a virtual human brain is truly achievable in our lifetime. This has prompted researchers to question the very foundation of modern computing, i.e., computational model, number system, and the storage technology. In this project, we aim to tackle the issue of and ldquo;number system and rdquo; and extend our previous work on Complex Binary Number System (CBNS) by designing nibble-size arithmetic circuits using traditional approach of Karnaugh Maps simplification and implementation with primitive logic gates. We and rsquo;ll download our designs onto Field Programmable Gate Arrays (FPGAs) and then compare the performance of these circuits with those based on Base-2 binary number system. This exercise is expected to provide convincing data to prove that arithmetic based on our current binary number system can be improved by incorporating CBNS into the architecture of today and rsquo;s microprocessors, and hence will become the first step in our objective of winning the brain-imitation game.

The ultimate achievement of the computer architects of tomorrow will be judged based on our success in winning the brain and ndash;imitation game. After almost 70 years of research work, most researchers of today remain unconvinced that building a virtual human brain is truly achievable in our lifetime. This has prompted researchers to question the very foundation of modern computing, i.e., computational model, number system, and the storage technology. In this project, we aim to tackle the issue of and ldquo;number system and rdquo; and extend our previous work on Complex Binary Number System (CBNS) by designing nibble-size arithmetic circuits using traditional approach of Karnaugh Maps simplification and implementation with primitive logic gates. We and rsquo;ll download our designs onto Field Programmable Gate Arrays (FPGAs) and then compare the performance of these circuits with those based on Base-2 binary number system. This exercise is expected to provide convincing data to prove that arithmetic based on our current binary number system can be improved by incorporating CBNS into the architecture of today and rsquo;s microprocessors, and hence will become the first step in our objective of winning the brain-imitation game.