Independent-Researcher
Never work for any country, any orgnization, any company, any person.
Never be used for Beijing, China.
Just for my dream: close to the demiurge, by super-intelligence.
I have resigned from the company, financial independence and full-time for super-ai researching and implementation.
I will record my important understanding in the process of researching and implementation to super intelligence in Chinese. (If you need to read it, please translate it into your mother language.)
The first version of the ultimate visual model is completed.
input: single-image, camera-free/train&infer, mask-support, incremental-hash-priori (so-far: single-object)
output: explicit-stereo-representation (only: stereo; todo: dynamic and interactive.)
With accompanying features: incremental/online learning.
2024-11-21: The 1st version of the non-BP learning (block-independent-leaning, w/ or w/o target). Effitive! Tested on: MLP, dimension-reduction, classification.
2024-12-14: The 2nd version of the non-BP learning (block-independent-leaning, w/ or w/o target). Effitive! Tested on: MLP, regression (difficult-task-type, a little different with classification), generation should be easy.
TODO: larget attention/transformer network on cifar10/100
(not generative direction; Fig.2 strcuture/algorithm is still on developing ...)
2022-08-28 My thoughts, under LeCun's Paper on OpenReview: https://openreview.net/forum?id=BZ5a1r-kVsf¬eId=8g5X9wi4HX
/physical/vision/interactive-dynamic-stereo (https://github.com/yuedajiong/super-ai-vision)
/symbol/thinker/unified-thinker(mathink) (https://github.com/yuedajiong/super-ai-symbol)