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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
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See also:
NASA Using Deep Belief Networks for Image Classification
DEEP LEARNING FOR AUTOMATIC IMAGE COLORING
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DEEP LEARNING FOR DOCUMENT ANALYSIS
Selected Papers
DEEP LEARNING FOR SEMANTIC IMAGE SEGMENTATION
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DEEP LEARNING FOR INDIAN LANGUAGE DOCUMENT RECOGNITION
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OTHER AREAS OF RESEARCH
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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.