Why amateurs and or professors of Artificial Intelligence/Deep Learning Research need mathematics in their work
Amateurs and or professors of Artificial Intelligence/Deep Learning Research reasonably need mathematics in their work!
Imagine “some_human” as somebody who seeks to construct an idea and contribute to the field of Ai.
- To put it simply, some_human has written down some concepts in the form of some text and diagrams, and without any math; but that body of text/diagram sequence could be impossible to verify, without any associated mathematical description.
- In contrast, let us imagine an optimal/mature example of what a good scientific paper looks like: i.e. an Artificial General Intelligence paper, such as Eray Ozkural’s 2015 kurzweil agi awarded paper… In it we see both text descriptions and math related to the topic of AGI. Each segment can be seen as some lego blocks with various shapes.
3. In Eray Ozkural’s case, (or any in properly written scientific article/work/paper), the included math reasonably defines each segment giving each a “shape”, and more math is there in other segments to assemble prior shapes/segments; this way we can seek to analyze compatibility between shapes/segments as we build our theories/concepts.
4. In contrast, in some_human’s case, the text bodies/diagrams are shapeless without math, so there is reasonably no real way to verify how things fit together, i.e. there are essentially no things/shapes to assemble.
If some scientists/potential collaborators want to reproduce some_human’s “theory”, how will they reproduce it?
How could scientists begin to seek to create an experiment in code/hardware etc, if some_human’s theory isn’t adequately codified in one of the key languages of the scientists, namely mathematics?
One should reasonably seek to codify one’s ideas in the language of mathematics, without permitting years to pass on without attempt.
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Take care and regards,
God Bennett (Name legally changed from: Jordan Micah Bennett):
- Author of “World’s first open source Covid19-Xray Artificial Intelligence/Neural Network diagnosis tool”
- Author of NVIDIA-featured Ai based pothole detector.
- NVIDIA is a multi-billion dollar Artificial intelligence involved company.
- NVIDIA’s technology has been central to a large degree of humanity’s progress so far.
- Author of the weekly Jamaican-newspaper Gleaner column:
“Artificial Intelligence could aid economic stimulation”.
“Why Jamaica Urgently Needs A Minister Of Artificial Intelligence”.
See also: Why USA urgently needs a “Secretary of Artificial Intelligence” Cabinet Member Political Role
- Creator of “RobotizeJamaica”.
- Inventor of the “Supersymmetric Artificial Neural Network”.
- Author of “Artificial Neural Networks for kids”.
- God is also working hard, trying to build something called the MLJI (which is probably the world’s first university-like initiative).
God is also the author of the hypothesis: Why is the purpose of human life to create Artificial General Intelligence?
