Machine Intelligence

OptimalAI researches most facets of machine learning including deep learning. Exploring both theory and practical application, we focus extensively on language processing, speech recognition, translation, visual analysis, ranking systems, prediction models and other domains. To comprehend and generalize complex relationships of interest, we gather substantial amounts of direct and indirect evidence, leveraging learning algorithms.

Machine Intelligence at OptimalAI poses profound scientific and engineering challenges, providing us with opportunities to contribute to the broader academic research community. We publish our findings in renowned conferences and journals. In contrast to prevailing theory and practices, we encounter rapidly shifting data statistics, evolving features of interest, and vast data volumes that demand significant computational capabilities. When learning systems are deployed at the heart of interactive services within dynamic and occasionally adversarial environments, we combine techniques from deep learning, statistical modeling, control theory, and game theory. This interdisciplinary approach allows us to tackle complex problems effectively and drive innovation in Machine Intelligence.