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Building Consciousness into
Machines
Awareness Processing Unit (APU)
Invented by
Dr Mukesh Bangar
What is APU ?
Awareness processing unit is “adaptive neural block chip”
designed to create awareness into machines.
Configuration of APU 1.0
• 2 bits processor
• Associate memory
• Multilevel M2M communication
• Clockless operation
• Real time operation
• Adaptive
• Event driven execution
Features of APU 1.0
APU has adaptive neural block chip architecture, multi
dimensional programming, biologically inspired ML algorithms,
multilevel M2M communication in single chip
APU is self programmable because of its self awareness nature
and It can process natural language instructions.
It can process large amount of data at once because of it's
clockless system.
These all makes APU more powerful, intelligent and useful than
conventional AI accelerators and CPUs.
Next Development
• To make APU compatible with current 32 bit
or 64 bit hardwares including sensors
• To build APU which will be capable to
understand natural language and
conversation
• To implement APU in various applications
2017 © DR MUKESH BANGAR

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Building Consciousness Into Machine | Awareness processing unit (APU) | Dr Mukesh Bangar

  • 2. Awareness Processing Unit (APU) Invented by Dr Mukesh Bangar
  • 3. What is APU ? Awareness processing unit is “adaptive neural block chip” designed to create awareness into machines. Configuration of APU 1.0 • 2 bits processor • Associate memory • Multilevel M2M communication • Clockless operation • Real time operation • Adaptive • Event driven execution
  • 4. Features of APU 1.0 APU has adaptive neural block chip architecture, multi dimensional programming, biologically inspired ML algorithms, multilevel M2M communication in single chip APU is self programmable because of its self awareness nature and It can process natural language instructions. It can process large amount of data at once because of it's clockless system. These all makes APU more powerful, intelligent and useful than conventional AI accelerators and CPUs.
  • 5. Next Development • To make APU compatible with current 32 bit or 64 bit hardwares including sensors • To build APU which will be capable to understand natural language and conversation • To implement APU in various applications 2017 © DR MUKESH BANGAR