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An artificial intelligence system uses object recognition to identify and analyze automobiles moving on a stretch of highway

RESEARCH AREA

Deep Learning and AI

A deep dive into artificial intelligence.

 

Overview

The deep learning and AI research area comprises multiple teams that work on a variety of research topics, all with a clear focus on solving real-world research problems. These teams are currently exploring program synthesis, reinforcement learning for robotic control, and teaching agents to negotiate with humans.

Fields

Some focus areas include:

  • Sensor analytics: This group employs deep learning for anomaly detection and machine health estimation from time series sensor data using its iSense platform

  • WildML: This group is working on leveraging human elastic labor via crowdsourcing to enhance deep learning solutions through its Samuhaa platform. This involves research on crowd reputation management and crowd consensus algorithms, as well as deep models for speech, vision, and text

  • Deep vision: This team resolves a variety of vision problems involving data extraction from images, as well as medical image processing using deep learning techniques

  • Augmented reality (AR): This team works on a number of vision and graphics problems, ranging from gesture recognition, model compression, and saliency detection, to multi-label placement, semantic segmentation, and object recognition

People & Patents

  • Research team: Led by Senior Scientist Lovekesh Vig, the team includes Pankaj Malhotra; Shirish Karande; Monika Sharma; and Ramya Hebbalaguppe

  • Academic partners: BITS Goa, India; and IIT Delhi, India

  • Patents and publications (FY18 onwards): This team has had more than 20 papers published at different conferences and journals

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