MUST Research Club is dedicated to promote excellence and competence in the field of data science, cognitive computing, artificial intelligence, machine learning, advanced analytics for the benefit of the society.

MUST is to build an ecosystem to enable interaction between academia and enterprise, help them in resolving problems, as well make them aware of the latest developments in the cognitive era to provide solution, guidance or training, organize lectures, seminars and workshop, collaborate on scientific programs and societal missions.

The most exciting feature of MUST is the fundamental research on cutting-edge technologies like artificial intelligence, machine learning, natural language processing, text analytics, image processing, computer vision, audio signal processing, speech technology, embedded systems, internet of things etc.

MUST Research Club is a non-profit organization registered under Society Act of India.

Cognitive Informatics

Cognitive computing makes a new class of problems computable.

To respond to the fluid nature of users understanding of their problems, the cognitive computing system offers a synthesis not just of information sources but of influences, contexts, and insights.

These systems differ from current computing applications in that they move beyond tabulating and calculating based on pre-configured rules and programs.

They can infer and even reason based on broad objectives. In this sense, cognitive computing is a new type of computing with the goal of more accurate models of how the human brain or mind senses, reasons, and responds to stimulus.

It is a field of study which studies how to create computers and computer software that are capable of intelligent behavior. This field is interdisciplinary, in which a number of sciences and professions converge, including computer science, electronics, mathematics, statistics, psychology, linguistics, philosophy, neuroscience and biology.

Project Features

Adaptive: They MUST learn as information changes, and as goals and requirements evolve. They MUST resolve ambiguity and tolerate unpredictability. They MUST be engineered to feed on dynamic data in real time.

Interactive: They MUST interact easily with users so that those users can define their needs comfortably. They MUST interact with other processors, devices, services, as well as with people.

Iterative and Stateful: They MUST aid in defining a problem by asking questions or finding additional source input if a problem statement is ambiguous or incomplete. They MUST remember previous interactions in a process and return information that is suitable for the specific application at that point in time.

Contextual: They MUST understand, identify, and extract contextual elements such as meaning, syntax, time, location, appropriate domain, regulation, user profile, process, task and goal. They may draw on multiple sources of information, including both structured and unstructured digital information, as well as sensory inputs (visual, gestural, auditory, or sensor-provided).

Subject Matters

Artificial Intelligence and Machine Learning (AIML)

Natural Language Processing and Text Analytics (NLPA)

Image Processing and Computer Vision (IPCV)

Audio Signal Processing and Speech Technology (ASPS)

Embedded Systems and Internet of Things (ESIT)

Expert Systems and Super Computers (ESSC)

Mobile Computing and Cognitive Micro Applications (MCMA)

Descriptive Analytics and Econometrics (DAEC)

Predictive Analytics and Statistical Modeling (PASM)

Prescriptive Analytics and Advisory Systems (PAAS)


Engage: Pulse Creation; Arranging Lectures on AI Topics; Brainstorming with Members

Explore: Ideation and Maker Events; Leader Connect for Research Opportunities; Mentoring for Implementation

Experiment: Projects and Demonstration; Deeper Evaluation of Ideas; Feedback and Iterations

Empower: AI Ecosystem Events (in collaboration with corporate and academia); Publications and Patenting; Accomplishments


Bengaluru (BLR)

Bhubaneswar (BBI)

Chennai (MAA)

Hyderabad (HYD)

Kolkata (CCU)

Mumbai (BOM)

New Delhi (DEL)

Pune (PNQ)


MUST Research Club has three levels of membership for individuals interested in cognitive computing and allied fields of study - Life Member, Associate Member and Student Member.

Based on eligibility and preference, Individual Membership is offered at each level.

Institutional Membership is offered for business houses, educational or research institutes and Government organizations.

Membership Charges

Student Member: 1000 INR (Yearly)

Associate Member: 2000 INR (Yearly)

Life Member: 10000 INR (Once)

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MUST Research Club

Data Science | Cognitive Computing | Artificial Intelligence | Machine Learning | Advanced Analytics

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