"The dignity of intellect lies not in how much it remembers, but in how deeply it understands."

LATEST FLAGSHIP MODEL

KSN10

10 Layers of Purity, 0.01% Integrity.
True Intelligence that Rejects the Temptation of Overfitting.

MNIST Accuracy 99.84%

Architecture 10 Layers

Beyond the "Wall of Overfitting"

In the world of AI, increasing accuracy is often simple. By expanding models and utilizing massive computational power, an AI can "memorize" the idiosyncrasies of a dataset, yielding results close to 100%. However, this is not intelligence; it is mere imitation.

In the established world of MNIST, there exist approximately 15 mislabeled images—traps hidden within the data. Attempting to "correctly" classify these errors causes an AI to lose its way, falling into the fog of "Overfitting," a state where it fails to generalize in real-world applications.

The 99.84% Milestone Achieved by KSN10.

We made the strategic decision to refine our architecture from 12 layers down to 10. This was not a reduction, but a purification—giving the AI the "courage to ignore noise." This ultimate balance of 10 layers allows the model to see past data imperfections and capture the invariant essence of numerical forms.

This 0.01% difference is more than just a numerical update. It represents a model that stands firm at the edge of overfitting, refusing to pander to noise while piercing through to the truth. KSN10 is the most honest and elegant answer, proving that AI has reached a true level of "understanding."

Services Contents

"Development of functions through ideas, data, and end-to-end learning"

Knowledge satellite AI platform "KSN" is：

as deep learning, it is a convolution neural network model.
- convolution neural network is a network that is providing superior performance in the field of image and video recognition.
Use MNIST for learning and performance evaluation
- MNIST is one of the most popular data sets to be used in well benchmarks in image recognition problem.

※Mixed National Institute of Standards and Technology database

KSN‘s “strengths”：

High accuracy
- ・Mark the 2th place in the MNIST accuracy ranking.
  February 6, 2026: The flagship model "KSN10" (single model, 10-layer configuration) achieved an accuracy rate of 99.84%.
  ※ "KSN10" have achieved State-of-the-art (99.84% accuracy) of a single model on MNIST.
Fast learning
- ・Achieving a 99% accuracy rate with an epoch of about 1.0.
Stable learning and robust to hyperparameter selection
- ・Learning with high accuracy and stability without strict tuning of parameters.

Own learning model for Knowledge Satellite

Beyond Complexity: The Intelligence of "Less"

Increasing layers is an easy path to accuracy, but we chose the road less traveled.
True breakthroughs come from stripping away the excess to reach mathematical purity.
The 99.84% barrier was broken by the "Structural Beauty" of just 10 layers.

Evolution of Accuracy

KSN AI Evolution History

Date	Arch	Acc.	Technical Significance
Oct 28, 2019	9L	99.75%	Achieved global standard with ultra-slim 9-layer model.
Jan 04, 2020	12L	99.76%	Validated optimization through 12-layer expansion.
May 05, 2020	15L	99.78%	Tested precision limits with 15-layer configuration.
Feb 05, 2021	12L	99.79%	Returned to 12L, surpassing 15L precision.
Feb 21, 2021	12L	99.80%	Rapid improvement in stability and versatility.
Mar 16, 2021	12L	99.81%	Refined proprietary CNN for practical deployment.
Aug 22, 2021	12L	99.82%	Secured reliability with consecutive record updates.
Sep 04, 2021	12L	99.83%	Ranked 4th globally with 12-layer efficiency.
Feb 06, 2026	10L (KSN10)	99.84% SOTA WORLD RECORD	[World Record Achieved] The Pinnacle of "Less, Smarter, Beautiful"

Technical Excellence by Knowledge Satellite Inc.