Scientific headlines in my mind

Scientific headlines in my mind

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Sometimes people ask What is going on inside of my head! Let's find out.

I think there are at least three things to keep in mind when designing an intelligent system. As an intelligent system I mean a system that chiefly is able to follow at least one of the common components of intelligence: learning, reasoning, problem-solving, perception, and language-understanding, to better achieve a better understanding of it's world(environment) and to exchange the received data and/or signals for solving problems and making solutions.

- The importance of data(inputs and results) accuracy and reliability for further inference.

- Scalability of methods and system design based on resources limit.

- Optimization of the computations and algorithmic steps to achieve the final results and best reasoning options.

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So I divided my studies and research into the following areas to learn more and gain the necessary knowledge.

Data pre-processing

The studies I've done and published as research paper in this field:

  • Optimization of Artificial Retina implant's vision (May 2016).
  • A Survey on Different Strategies on Preparing Data for Data Mining (Nov. 2015).

Modelling and Data sampling

The studies I've done and published as research paper in this field:

  • A survey on accelerating methodologies of belief propagation algorithm for stereo images adaptation (Dec. 2018).
  • The RPAT Algorithm for Politician Assessment and Evaluation (Mar. 2018).
  • Parallel programming Application on Medical Image Processing: MRI contours matching algorithm based on GPU accelerated methods for Tumor differential Analysis (Nov. 2017).
  • Subjects Extraction and text data classification by CHERNOFF algorithm and implementation with Java general purpose computer programming language (Nov. 2017).

Combinatorial and self-supervised learning methods and algorithms

The studies I've done and published as research paper in this field:

  • The Neural Connection Spot (Mar. 2018).


Last update: Aug. 2021

If you would like to work with me, please contact me on LinkedIn or just send me an email ([email protected]).
I'm happy to talk in laboratory courses time too.
Michael B.Khani

Intelligent systems engineer and advisor

1 年

A possible hypothesis: "There is a singular reason for intelligence in biological entities and systems, which is the ability to adapt to the environment." Michael B.Khani This hypothesis suggests that the intelligence level or decision making of biological entities and systems is based on their ability to adapt to the environment. The organs and input data that the biological entities and systems use to process information, as well as the abilities of their neurological host, influence their decision making. However, the singular reason for intelligence is the ability to adapt to the environment. This hypothesis can be tested through experiments and observations. For example, you could study the behavior of different species in different environments and compare their decision making and similar reactions. You could also study the brains of different species and compare their structures and functions.

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