Advance Machine Learning, Cognitive Science and Intelligence

We pursue research on automated reasoning, analysis and applications of decision making and self-learning algorithms. Our research vision is focused on developing software that learn by themselves, without any training data unlike neural networks.

Currently, we are on the verge of developing a very advanced algorithm that learns by itself. It has the ability to classify information automatically without any human intervention or sample data. Given hundreds and thousands of electronic documents, the algorithm is intelligent enough to classify or cluster the related information. It then creates its own knowledge base that could be used in various applications.

Innovation:  LMai^TM - Latent Metonymical Analysis and Indexing
Innovator:  Syed Yasin

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Latent Metonymical Analysis and Indexing (LMai^TM) is an algorithm that uses mathematical techniques in the realm of unsupervised or advance machine learning to derive results no other contemporary technology has been able to achieve till date.  We believe it is all set to power the next generation of internet search experience, where the search engine, besides searching for the keywords, would help in defining the very keyword(s) for the search. LMai’s algorithm works with the user from the start in incrementally defining the scope and the results thereof, helping a user who is not acquainted with the exact terminology for the search to start from any related word and quickly identify the desired area of interest.

For example, if a user were to type an ‘X’ brand of motorcycle, it would throw up pages which were directly related to the keyword. LMai on the other hand would also give contextual results like 2-Stroke Motorcycle Engines, 4-Stoke Motorcycle engines, V-twin Engines, Safety while riding, Helmets and so on. LMai defines this kind of relationship automatically without any set of training data enabling a machine or a system to act like an expert.

Sobha Renaissance information Technology (SRIT) announced this revolutionary ‘Artificial Intelligence’ technology for immediate application in deriving context-based internet search results on May 07th, 2007 through a high power media round table in Bangalore. SRIT is actively exploring all possible ways to commercialize LMai, reaching it to all domains and applications that can benefit from its capabilities.


Some domains of high interest are:

• Search Engines
• Entertainment
• Digitized HealthCare