Artificial Intelligence (AI) is the field of systems that perceive their environment and take appropriate actions in order to maximize their chances of achieving their goals. AI has been around for over fifty years. Various problems in the field of artificial intelligence include synthetic reasoning, machine learning, computer vision, environment perception and sensing, natural language processing, and more. There are many methods to approach AI - including conventional mathematical, and statistical methods, neural networks, and probability-based algorithms.
We approach problems with a focus on the most optimal and efficient solutions. We have experience with traditional statistical machine learning techniques including MLE, MAP, Bayesian Learning etc., more sophisticated machine learning techniques such as MVG, kNN, k-Means, PCA, LDA, random forest, and deep learning techniques inlcuding neural networks.