Transitional Artificial Intelligence Research

About Transitional Artificial Intelligence Research

We are a group focusing on trans-disciplinary Artificial Intelligence (AI) research where the novelty comes from transforming the domain.

Transitional Artificial Intelligence Research Description

Artificial Intelligence methods include, but not limiting to, Data Science, Machine learning and Optimisation
Deep Learning and Neural networks, Learning systems
Optimisation methods that include Evolutionary Algorithms, Swarm Intelligence
Supervised, Unsupervised and Reinforcement Learning
Bayesian methods, MCMC methods, Distributed AI algorithms, Parallel MCMC methods

More about Transitional Artificial Intelligence Research

http://trans-ai.github.io