18047926. SYSTEM AND METHOD OF CONFIGURING INTEGRATED CIRCUITS simplified abstract (Dell Products L.P.)

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SYSTEM AND METHOD OF CONFIGURING INTEGRATED CIRCUITS

Organization Name

Dell Products L.P.

Inventor(s)

Ofir Ezrielev of Be'er Sheva (IL)

Nadav Azaria of Meitar (IL)

SYSTEM AND METHOD OF CONFIGURING INTEGRATED CIRCUITS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18047926 titled 'SYSTEM AND METHOD OF CONFIGURING INTEGRATED CIRCUITS

Simplified Explanation

The abstract describes a method for designing an integrated circuit based on a neural network and multiple logic gates. The process involves providing input data, receiving output data, determining a neural network, deriving binary neural networks, creating a network of logic gates, and configuring the integrated circuit.

  • Explanation of the patent/innovation:

- Process executes and provides input data - Output data received and neural network determined - Binary neural networks derived from the neural network - Network of logic gates created based on binary neural networks - Integrated circuit configured based on the network of logic gates

Potential Applications

This technology could be applied in various fields such as: - Hardware acceleration - Signal processing - Machine learning

Problems Solved

- Efficient design of integrated circuits - Optimization of neural networks - Implementation of complex logic functions

Benefits

- Faster processing speeds - Reduced power consumption - Customizable integrated circuits

Potential Commercial Applications

Optimized integrated circuits for: - Data centers - IoT devices - Autonomous vehicles

Possible Prior Art

Prior art in the field of integrated circuit design and neural network optimization may include research papers, patents, and existing products utilizing similar technologies.

Unanswered Questions

How does this technology compare to traditional integrated circuit design methods?

This technology offers a more efficient and customizable approach to designing integrated circuits compared to traditional methods. By utilizing neural networks and logic gates, the process can optimize performance and power consumption.

What are the limitations of using neural networks for designing integrated circuits?

While neural networks offer benefits in terms of optimization and customization, they may also introduce complexity and require specialized knowledge for implementation. Additionally, the accuracy and reliability of the neural network-based design process may need to be carefully validated.


Original Abstract Submitted

In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may execute a process; provide input data to the process as the process executes; receive output data from the process as the process executes; after executing the process, determine a neural network based at least on the input data to the process and the output data from the process; determine multiple binary neural networks from the neural network; determine a network of multiple logic gates based at least on the multiple binary neural networks of the neural network; and configure an integrated circuit based at least on the network of the multiple logic gates. For example, the integrated circuit may include at least one of a field programmable gate array, an application specific integrated circuit, a programmable array logic, and a complex logic device.