Mirworks - Machine Intelligence Research Group

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

What happens when machines become smarter than humans? Humans steer the future, not because we are the strongest or the fastest, but because we are smart. When machines become more intelligent than humans, we will handle them the steering wheel. The MIR group makes the machines smarter! We make sure the more smart 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 the 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 neighbor algorithm, Analogical modeling, 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 neighbor, 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 find experts in MIR group.

The new focus of the MIR group is Nature-inspired algorithms. Nature-inspired computing is an evolving research area that has profound applications in the engineering optimization domain. Unique 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.