Enabling Technology
The Cell Structured Computer Chip (CSCC) Technology

The CSCC is a unique chip design applying fractal topology with sophisticated timing and sense networks. It enables real-time artificial intelligence with extensive processing power using precisely timed operations.
- The CSCC is a fractal based computer chip specifically designed for real-time artificial intelligence.
- CSCC consists of configurable logistic cells of RGUs and time-driven neural networks in a fractal topology.
- All configurable logistic cells are fully connected by a switch fabric.
- The fractal structure is ideal for recurrent deep learning by grouping GRUs in a local domain for an efficient cognitive process.
The Super Linear Concurrent Architecture
A single-layer unified cache system with a protocol for all pipelines that uses a real-time AI powered predictive MMU looking ahead at the data needed by all pipelines and then preparing it in advance.
- 50% increase in concurrent memory access efficiency using real-time AI to reducing data exceptions in a multicore CPU
- High-level simultaneous parallel processing for use in real-time AI functions
- 10x increase in processor efficiency compared to existing technology
Real-Time Cognitive Neural Network by CSCC

CSCC:A Real-Time CNN
The CSCC is a unique chip design applying fractal topology with sophisticated timing and sense networks. It enables real-time artificial intelligence with extensive processing power using precisely timed operations.
- A Cognitive Neural Network (CNN) is a network that immediately learns and adapts during real-time operation
- The Cell Structured Computer Chip (CSCC) is a fractal based computer chip specifically designed for real-time artificial intelligence
- CSCC consists of configurable logistic cells of RGUs and time-driven neural networks in a fractal topology
- All configurable logistic cells are fully connected by a switch fabric

A Fractal Structure Example
Deep Learning using CSCC

- All configurable logistic cells are fully connected by a switch fabric to form a complete network. The cells have enormous calculating power for challenging tasks.
- There is a link between every cell that is controlled by a programmable switch. The links create a connected network that behaves like a neural network.
- There are three independent CNN layers in the CSCC
- Sense Network for cognition
- Timing Network for real-time processing
- Data Network for non-linear operations
- The fractal structure is ideal for recurrent deep learning by grouping GRUs in a local domain for an efficient cognitive process.
Non-Linearity Channel Processing in CSCC

- CSCC uses Channel Processing to handle non-linear operations in the fractal topology
- The Channel Processing architecture, which consists of GRU cells and Control Pipelines, enables data to be processed while moving from one cell to another
- Control Pipelines can process data from several GRU cells during a singe clock interval
- The GRU cells maintain data coherency through Control Pipelines, enabling the highest parallelism
- Data is no longer required to travel through the whole system to be processed by a central unit
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