Ranch was a bright chap but had his problems… I think he was working along similar lines to me… shame.
what is your goal by creating your "recognition algorithms"?
Think of all the wonderful things modern computers can do, simulate worlds/ characters in games, weather predictions, spacecraft/ aircraft autopilots, chatbots, deep learning… the list is endless.
Modern computers are programmed usually in a high level language like Java/ python, which are written in C, which is written in machine code, which directly manipulates the stacks/ registers of the CPU… which runs on binary logic/ gates. So all the wonderful software the world is currently enjoying is basically 0’s & 1’s.
The modern computer is an amazing achievement and its provenance is comprised of generations of dedicated human programmers who have written the hierarchical sub routines/ functions/ libraries that each succeeding generation has built upon.
When you consider that 99% of what a modern computer has to do to achieve these feats is ‘pattern recognition’ you might start to grasp what my project is about.
Transmission protocols like TCP/ UDP etc simply send 1’s & 0’s. When you access a web page your computer has to firstly recognise the TCP stream, then the HTML syntax, then render the page, etc, this all requires pattern recognition.
If you draw a circle on your monitor using an art package does the ‘circle’ exist inside your computer? No…only a logical representation exists… there is no
actual circle.
When you look at a circle… does a circle exist in your brain?
What I’ve designed and built is a neuromorphic processor. It uses neural processing instead of 0/ 1’s but still works at the lowest level of abstraction. So rather than binary I’m using neurons, synapse, compounds, etc. this bypasses the problems of data representation/ encoding, heuristics, symbolic processing, etc.
It is capable of achieving everything modern computers can do, and a whole lot more… but needs no programming… it learns all by it’s self from experience, and is not limited by human programming/ intelligence.
The same connectome can recognise phonemes, faces, encode short/ long/ episodic memories, perform prediction and regression of experiences, focus attention/ saliency, even dream (its version), etc…
I use voice/ video/ face recognition to test my designs because it’s a nice simple method to tracking my projects progress; this is why I post this type of video. You might not believe it but this is quite a complex project lol.
Or are you trying to create a human intelligence?
So no… I’m not creating just one part of a car… it’s a full intellect… and it certainly isn’t human by any stretch atm… which is good… I’m not after human level intellect… think human intelligence X billion.
Hahaha his AI must know me too!
That AGI did recognise your logo, it also understood the moment in time and the actions I took to show it the logo… it knew where it was in the lab and my proximity too it. It understood the time of day and was probably listening/ learning the music I was playing in the background.
Its stored/ saved now on my ‘RIP’ drive where I keep all the partly developed AGI’s I test… once they have experienced reality/ time/ experiences, even though it’s through their machine senses… it doesn’t seem right to just delete 'them'.
