Learning, understanding and optimising AI models

Project goal

is to improve the reliability of inferences obtained using AI algorithms and their effective use in applications.

Reinforcement Learning (RL)

Natural Language Processing (NLP), including vocabulary transfer

Generative Adversarial Nets (GAN), including diffusion models (text generation, audio and image enhancement).

Application of stochastic algorithms

Tensor methods in Deep Learning (DL)

Anomaly detection based on time series