MUST Research Labs - Data Science | Cognitive Computing | Artificial Intelligence | Machine Learning

MUST Research
Labs

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

MUST Research Labs develop advanced solutions and products on artificial intelligence for business and services bundled with data engineering, innovative algorithms, end-to-end coding, deployment and intellectual properties.

Labs Offerings

✓ Data Science Applied Research, Advanced Algorithms and Architecture for building Go-to-Market Solutions.

✓ Artificial Intelligence and Deep Learning based Solutions along with Codebase and Viable Products.

✓ Dedicated Intellectual Properties and Patent Filing for Customers in collaboration with the best Researchers.

Cognitive systems 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. To respond to the fluid nature of users' understanding of their problems, the cognitive computing systems offer synthesis not just of information sources but of influences, contexts and insights; also differ from current computing applications in that and move beyond tabulating and calculating based on pre-configured rules and programs.

Business Verticals

Aeronautics and Aviation	Agriculture	Automobiles and Auto Components	Banking and Financial Services	Business Process Automation
Chemicals and Renewable Energy	Defense Research	E-Governance	Education and Training	Electronics System Design and Production
Engineering and Manufacturing	Environment and Sustainability	Fast Moving Consumer Goods	Food and Beverage	Healthcare, Life Sciences and Pharmaceuticals
Human Resource Management	Information Technology	Insurance	Legal, Law and Order	News, Media and Entertainment
Real Estate and Infrastructure	Retail and E-Commerce	Sales and Revenue	Social Security and Census	Sports and Fitness
Supply Chain and Logistics	Telecommunications	Textiles and Fashion Accessories	Traffic and Smart City Management	Travel, Tourism and Hospitality

Project Features

Adaptive: The systems 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: The platforms 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: The programs 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: The algorithms MUST understand, identify, and extract contextual elements such as meaning, syntax, time, location, appropriate domain, regulation, user profile, process, task and goal.

They MUST draw on multiple sources of information, including both structured and unstructured digital information, as well as sensory inputs (visual, gestural, auditory, or sensor-provided).

Technology Horizontals

Forecasting on Time Series Data	Optimization Techniques	Recommendation System	Dimensionality Reduction	Anomaly Detection
Reinforcement Learning	Information Retrieval and Knowledge Graph	Sentiment Analysis	Topic Modeling	Natural to Structured Query
Machine Translation	Text Summarization	Textual Content Generation	Conversational System	Image Enhancement
Data Extraction from Document	Handwritten Character Recognition	Object Localization	Image Segmentation and Classification	Face Recognition
Emotion and Gesture Detection	Image Augmentation and Generation	Image and Video Captioning	Speaker Recognition	Speech to Text Transcription
Tonal Voice Recognition	Speech and Voice Synthesis	Audio Classification and Generation	Multimodal Human Machine Interaction	Intelligent Internet of Things and Robotics

Clients and Partners

Microsoft	Google	Nvidia	Intel	Lenovo
Amazon	Ernst & Young	Deloitte	KPMG	PricewaterhouseCoopers

Contact

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Mobile:

+91 98863 92439

Email:

joy@must.co.in

Web:

must.co.in/labs

Corporate Office:

T-Hub 2.0
Inorbit Mall Road,
Vittal Rao Nagar, Madhapur.
Hyderabad - 500081, Telangana, India.