Reading Notes - Neuroscience Inspirations for AI

Thu, 12 Mar 2026 00:00:00 +0000

I reviewed several materials on cortical computation and noise robustness.

What stood out:

Biological systems rely on redundancy and local adaptation, not only scale.
Robustness is often an emergent property of system design, not a single trick.
Interpretability improves when models are constrained by plausible mechanisms.

Next step: prototype a small benchmark that compares standard and bio-inspired architectures under perturbations.

IJCAI Chinese Standard Mahjong AI Competition

Thu, 01 Jun 2023 00:00:00 +0000

Achieved outstanding performance in the prestigious IJCAI Chinese Standard Mahjong AI Competition across two consecutive years:

2023: 7th Place - IJCAI2023 Special Track 2022: 10th Place - IJCAI2022 Competition

Technical Approach

Our solution applied Deep Residual Networks to Mahjong strategy learning:

Architecture: Implemented CNNs based on ResNet, Res2Net, and DenseNet architectures
Learning Method: Used supervised learning algorithms for feature extraction and strategy learning
Training Data: Leveraged large amounts of expert game-play data
Performance: Demonstrated consistent improvement and competitive ranking

Recognition

Invited to present at the IJCAI2023 special track
Recognized among top performers in international AI gaming competition
Contributed to advancing AI applications in complex strategic games

This achievement demonstrates proficiency in applying state-of-the-art deep learning techniques to complex strategic decision-making problems and competitive performance in international AI competitions.

Machine Learning | Shaoyang Cui

Reading Notes - Neuroscience Inspirations for AI

IJCAI Chinese Standard Mahjong AI Competition

Technical Approach

Recognition