Behavioral Processing Unit for Signal Tracking
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Solution Overview
Problem
Processing signals and states representative of diverse content in integrated circuit devices, such as processors, is resource-demanding, leading to challenges like increased processing time, storage demands, complexity, and cost.
Innovation Solution
A processor with a behavioral processing unit that includes machine learning acceleration circuitry processes sensor content to generate behavioral profile content, efficiently tracking parameters of a user's physical, mental, and emotional state, and determining relationships with bioavailability of substances, enabling recommendations for supplementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional signal processing methods are used to process diverse content in integrated circuit devices, then processing accuracy is maintained, but processing time increases and resource consumption increases
Solution Approach 1:
The processor is divided into multiple specialized processing units including a first processing unit for initial signal processing and a second processing unit for subsequent processing. This segmentation allows parallel processing of different content types, reducing overall processing time while maintaining accuracy requirements for each content type.
Solution Approach 2:
The system dynamically adjusts processing parameters and resource allocation based on the type and characteristics of the content being processed. The processor can switch between different processing modes and allocate computational resources dynamically, optimizing processing speed for different content types without sacrificing accuracy.
2Measurement precision
If comprehensive signal processing is performed on diverse content, then processing accuracy is improved, but device complexity increases
Solution Approach 1:
Different processing units are assigned different levels of processing accuracy and complexity based on the specific requirements of the content type. The first processing unit handles basic processing with lower complexity, while the second processing unit handles more complex processing for content requiring higher accuracy. This local quality approach ensures accuracy where needed without unnecessarily increasing overall device complexity.
3Productivity
If multiple processing units are added to reduce processing time, then productivity is improved, but manufacturing cost increases
Solution Approach 1:
The multiple processing units are designed with universal functionality to handle various types of content processing tasks. Each processing unit can be configured to handle different content types, reducing the need for specialized hardware for each function. This multi-functionality approach increases processing throughput while controlling manufacturing costs by avoiding redundant specialized components.
Data Source
AI summary
Subject matter disclosed herein may relate to systems, devices, and/or processes for tracking signals and/or states representative of behavioral and/or biological state.


