RESEARCH

Creating the State of the Art

DEEP LEARNING FOR VIDEO AND IMAGE ANALYTICS

Selected Papers

• CactusNets: Layer Applicability as a Metric for Transfer Learning​
• DeepSat – A Learning framework for Satellite Imagery
• A Theoretical Analysis of Deep Neural Networks for Texture Classification
• A Semi-automated Probabilistic Framework for Tree Cover Delineation from 1-m NAIP Imagery Using a High Performance Computing Architecture
• Food Image Analysis for Measuring Food Intake in Free Living Conditions
• Core Sampling Framework for Pixel Classification

DEEP LEARNING FOR AUTOMATIC IMAGE COLORING

DEEP LEARNING FOR NON-INVASIVE MANUFACTURING DIAGNOSTICS

DEEP LEARNING FOR DOCUMENT ANALYSIS

Selected Papers

• Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets

DEEP LEARNING FOR SEMANTIC IMAGE SEGMENTATION

DEEP LEARNING FOR INDIAN LANGUAGE DOCUMENT RECOGNITION

OTHER AREAS OF RESEARCH

• Deep Learning for Smart Supply Chain Management
• Deep Learning for Drug Discovery
• Deep Learning for Automated Drug Design
• Deep Learning for E-Commerce & Finance

Current Research

Creating the State of the Art

As a Deep Learning Company, our team of PhDs performs pioneering research on the foundations of deep learning and artificial intelligence. Our focus areas include neural networks, machine diagnostics, sound and signals processing, computer vision, video and image analytics, semantics and textual processing, and more. We share our work as widely as possible.