View source for Z Advanced Computing, Inc. (20240241924). System and Method for Extremely Efficient Image and Pattern Recognition and Artificial Intelligence Platform simplified abstract

=System and Method for Extremely Efficient Image and Pattern Recognition and Artificial Intelligence Platform=


==Organization Name==

[[:Category:Z Advanced Computing, Inc.|Z Advanced Computing, Inc.]]


[[Category:Z Advanced Computing, Inc.]]

==Inventor(s)==

[[:Category:Lotfi A. Zadeh|Lotfi A. Zadeh]][[Category:Lotfi A. Zadeh]]

[[:Category:Saied Tadayon of Potomac MD (US)|Saied Tadayon of Potomac MD (US)]][[Category:Saied Tadayon of Potomac MD (US)]]

[[:Category:Bijan Tadayon of Potomac MD (US)|Bijan Tadayon of Potomac MD (US)]][[Category:Bijan Tadayon of Potomac MD (US)]]

==System and Method for Extremely Efficient Image and Pattern Recognition and Artificial Intelligence Platform - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240241924 titled 'System and Method for Extremely Efficient Image and Pattern Recognition and Artificial Intelligence Platform

**Simplified Explanation:**
This patent application covers new algorithms, methods, and systems for artificial intelligence, including the first application of general AI with reasoning and cognitive layers. It also includes soft computing, big data analytics, machine learning, and various applications such as image recognition, data mining, and financial forecasting.

**Key Features and Innovation:**
- Introduction of general AI with reasoning and cognitive layers
- Enhanced algorithms for deep-level recognition, big data analytics, and machine learning
- Integration of soft computing and information principle
- Application in various fields such as medical diagnosis, genetics, and financial forecasting

**Potential Applications:**
- Medical diagnosis and imaging analysis
- Financial forecasting and risk assessment
- Fraud detection in cryptocurrency transactions
- Autonomous vehicles and drones navigation
- Smart city and IoT applications

**Problems Solved:**
- Enhancing AI capabilities with reasoning and cognitive layers
- Improving deep-level recognition for image and video analysis
- Enhancing data reliability and accuracy in various applications
- Enabling advanced applications in genetics, drug discovery, and biomedicine

**Benefits:**
- Improved accuracy and efficiency in AI applications
- Enhanced decision-making capabilities in various fields
- Increased reliability and trust in AI systems
- Potential for groundbreaking advancements in medical, financial, and technological fields

**Commercial Applications:**
Potential commercial uses include AI-powered medical diagnosis systems, financial forecasting tools, autonomous vehicles and drones, smart city applications, and advanced image and video analysis technologies.

**Questions about AI:**
1. How does this technology improve the accuracy and efficiency of AI applications?
2. What are the potential commercial implications of integrating reasoning and cognitive layers into general AI systems?


==Original Abstract Submitted==

specification covers new algorithms, methods, and systems for: artificial intelligence; the first application of general-ai (versus specific, vertical, or narrow-ai) (as humans can do) (which also includes explainable-ai or xai); addition of reasoning, inference, and cognitive layers/engines to learning module/engine/layer; soft computing; information principle; stratification; incremental enlargement principle; deep-level/detailed recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, tilted or partial-face, ocr, relationship, position, pattern, and object); big data analytics; machine learning; crowd-sourcing; classification; clustering; svm; similarity measures; enhanced boltzmann machines; enhanced convolutional neural networks; optimization; search engine; ranking; semantic web; context analysis; question-answering system; soft, fuzzy, or un-sharp boundaries/impreciseness/ambiguities/fuzziness in class or set, e.g., for language analysis; natural language processing (nlp); computing-with-words (cww); parsing; machine translation; music, sound, speech, or speaker recognition; video search and analysis (e.g. “intelligent tracking”, with detailed recognition); image annotation; image or color correction; data reliability; z-number; z-web; z-factor; rules engine; playing games; control system; autonomous vehicles or drones; self-diagnosis and self-repair robots; system diagnosis; medical diagnosis/images; genetics; drug discovery; biomedicine; data mining; event prediction; financial forecasting (e.g., for stocks); economics; risk assessment; fraud detection (e.g., for cryptocurrency); e-mail management; database management; indexing and join operation; memory management; data compression; event-centric social network; social behavior; drone/satellite vision/navigation; smart city/home/appliances/iot; and image ad and referral networks, for e-commerce, e.g., 3d shoe recognition, from any view angle.



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