Decision tree model

linear model

KNN

LDA

Bayes

Dimensionality reduction

clustering

CPU

GPU

NPU

BI

TensorFlow (open source)

scikit-learn (open source)

Caffe (open source)

PyTorch (open source)

Paddle (Baidu)

MindSpore (Huawei)

container

MapReduce

Spark

Model encryption

Model watermark

Model confusion

Service model anti-theft

Forged sample attack defense

Adversarial sample production (simulating the creation of abundant samples)

Adversarial training (algorithm parameter optimization)

Robustness assessment

Globally interpretable (understand the internal structure of the model)

Locally interpretable (understanding prediction results)

Data fairness (sample balance without bias)

Feature fairness (unbiased features)

Algorithmic fairness (algorithm application issues)

Localization of AI computing power equipment

Localization of computing framework

Compliance systems and enforcement

Privacy Protection (Privacy Computing Technology)

Access control (data desensitization, user control, etc.)

Data anti-poisoning

Data consistency guarantee

AutoML

supervised learning

unsupervised learning

transfer learning