Mirworks - Machine Intelligence Research Group

Machine Intelligence Research Group (MIR Group) is an academic consortium focused on innovation and research excellence. The group comprises of several leading academicians and scientists from various organisations in and around the capital of Kerala.

What happens when machines become smarter than human? Humans steer the future not because we are the strongest or the fastest but because we are the smartest. When machines become smarter than human, we will handle them the steering wheel. The MIR group make the machines smarter! We make sure the smarter creations always have a positive impact. We at MIR group follow the unconventional method where WE ALL learn together. We encourage interaction and individual ideas rather than a stereotype group activity. We firmly believe that no science is beyond dream, hard work, dedication and commitment. We make things happen..!!

The core interest of the team members at MIR group includes Supervised learning, Averaged one-dependence estimators, Artificial neural network, Bayesian network, Case-based reasoning, Decision trees, Inductive logic programming, Gaussian process regression, Gene expression programming, Group method of data handling , Learning automata, Learning vector quantization, Clustering, Nearest neighbour algorithm, Analogical modelling, Probably approximately correct learning, Ripple down rules and knowledge acquisition methodology.

MIR group also have veterans from the areas of Symbolic machine learning algorithms, Subsymbolic machine learning algorithms, Support vector machines, Random forests, Ensemble classifiers, Hidden Markov models, Ordinal classification, Regression analysis, Information fuzzy networks, Conditional random field, ANOVA, Linear classifiers, Fisher's linear discriminant, Logistic regression, Decision trees- C4.5, Random forests, Bayesian networks, Expectation-maximization algorithm, Vector quantization and Multinomial logistic regression

The recently popular areas of technological development like Quadratic classifiers, k-nearest neighbour, Generative topographic map, Information bottleneck method, Self-organizing map, Radial basis function network, Association rule learning, Reinforcement learning, Temporal difference learning, Q-learning, Learning automata, Monte Carlo method, Deep recurrent neural networks and Hierarchical temporal memory also finds experts in MIR group.

New focus of the MIR group is Nature inspired algorithms. Nature inspired computing is an evolving research area which has profound applications in engineering optimization domain. New expertise in swarm intelligence, bioinspired and evolutionary algorithms are evolved from this group. The MIR group filed IPRs for the new algorithms. MIR group offers expert classes and consultancies in the above area. .