Building an artificial brain using an FPGA based CAM-Brain Machine
نویسندگان
چکیده
This paper reports on recent progress made in ATR's attempt to build a 10,000 evolved neural net module artificial brain to control the behaviors of a life sized robot kitten.
منابع مشابه
The CAM - Brain Machine ( CBM ) An FPGA Based Tool which Evolves Neural Net Circuit Modules in Seconds for Building a 75 Million Neuron Arti cial Brain
This article introduces the \CAM-Brain Machine" (CBM), an FPGA based piece of hardware which implements a genetic algorithm (GA) to evolve a cellular automata (CA) based neural network circuit module, of approximately 1,000 neurons, in about a second, i.e. a complete run of a GA, with 10,000s of circuit growths and performance evaluations. Up to 65,000 of these modules, each of which is evolved...
متن کاملCoDi-1Bit: A Simplified Cellular Automata Based Neuron Model
This paper presents some simpliications to our recently introduced \CoDi-model", which we use to evolve Cellular Automata based neural network modules for ATR's artiicial brain project \CAM-Brain" 11]. The great advantage of CAs as a modeling medium, is their paral-lelism, which permits neural system simulation hardware based on CoDi to be scaled up without loss of speed. Simulation speed is cr...
متن کامل"CBM (CAM-BRAIN MACHINE)" A Hardware Tool which Evolves a Neural Net Module in a Fraction of a Second and Runs a Million Neuron Artificial Brain in Real Time
This paper describes a hardware architecture capable of evolving thousands of neural network modules in a matter of minutes and running a simulation of a million neuron modular artificial brain in real time. This new hardware system (called a "CBM", i.e. a CAM-Brain Machine) is an essential component in ATR's ongoing "CAMBrain Project", which aims to build/grow/evolve an artificial brain consis...
متن کاملThe CAM-Brain Machine (CBM): Real Time Evolution and Update of a 75 Million Neuron FPGA-Based Artificial Brain
This article introduces ATR's \CAM-Brain Machine" (CBM), an FPGA based piece of hardware which implements a genetic algorithm (GA) to evolve a cellular automata (CA) based neural network circuit module, of approximately 1,000 neurons, in about a second, i.e. a complete run of a GA, with 10,000s of circuit growths and performance evaluations. Up to 65,000 of these modules, each of which is evolv...
متن کاملAtr's "cam-brain Machine" (cbm) and Artiicial Brains an Fpga Based Hardware Tool Which Evolves a Neural Net Circuit Module in a Second and Updates a 40 Million Neuron Artiicial Brain in Real Time
This article introduces ATR's "CAM-Brain Machine" (CBM), an FPGA based piece of hardware which implements a genetic algorithm (GA) to evolve a cellular automata (CA) based neural network circuit module (of approximately 1000 neurons) in about a second (i.e. a complete run of a GA, with 10,000s of circuit growths and performance evaluations). Up to 32000 of these modules (each of which is evolve...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Applied Mathematics and Computation
دوره 111 شماره
صفحات -
تاریخ انتشار 2000