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Smart Receiving: A Warehouse Automation Solution

WWT's Data Science team and Supply Chain Process Improvement team worked together on a Smart Receiving solution that leverages computer vision technologies in aiding operators in the material validation process at the receipt.

Apr 7, 2022

12 min read

Article WWT Research

Mitigating Bias in AI Using Debias-GAN

In this white paper, we propose a general framework, debias-GAN, to address possible bias in AI and Machine Learning (ML) algorithms by explicitly augmenting a training dataset for NLP models with underrepresented instances synthesized by a pretrained sequence generating model.

Nov 9, 2021

23 min read

Article ATC

ATC Connect Recommendation Engine

A hybrid recommendation engine was built for recommending relevant articles to the users of the WWT ATC Connect mobile app.

Aug 18, 2021

10 min read

Article ATC

Deploying the AI R&D MLOps Platform to Enable End-to-End ML Workflows

Deploying the Kubeflow MLOps platform in AWS to enabled our Data Science team to create end-to-end ML workflows for automated delivery of machine-learning models.

Apr 8, 2021

15 min read

Article ATC

MRI Radiomics: Tumor Identification and Reverse Image Search Using Convolutional Neural Network

This paper leverages deep learning to match MRI tumor images to scans with similar features with the goal of providing clinicians a tool to increase accuracy and speed to diagnosis.

Feb 5, 2021

20 min read

Article ATC

An Ensemble Approach to Data Mining for Real-time Information Retrieval

Learn about an approach to Information Retrieval (IR) using a combination of multiple Natural Language Processing (NLP) models.

Sep 10, 2020

16 min read

Article ATC

Machine Learning Models for Route Consolidation

We develop a generalizable machine learning method for route consolidation. The developed method is compared against a more traditional ad-hoc method. The machine learning method uses a deep autoencoder, K-means clustering and Procrustes distance. The machine learning method is shown to produce similar results to the more traditional method with the advantage of using a more generalizable approach.

Apr 19, 2020

16 min read

Article WWT Research

Obscuring and Analyzing Sensitive Information With Generative Adversarial Networks

In this white paper, we explore the feasibility of generating representative data for two types of data: binary input from medical records and real-valued sensor data from industrial mining trucks.

Oct 28, 2019

24 min read

Article ATC

Deep Learning With NVIDIA DGX-1

We highlight some practical considerations for the Deep Learning practitioner relevant to neural network training on the NVIDIA DGX-1.

Sep 17, 2019

23 min read

Article WWT Research

A New Use for Autoencoders in the Utility Industry

Learn how WWT experts are leveraging neural network autoencoders and k-means clustering to segment energy consumers based on meter reading data.

Sep 5, 2019

11 min read

Article ATC

Privately Training an AI Model Using Fake Images Generated by Generative Adversarial Networks

WWT Artificial Intelligence Research and Development white paper from August 2019 discusses methods to use AI to generate representative data that can be used safely for research and analysis.

Sep 5, 2019

19 min read

Article ATC

Machine Learning for Shovel Tooth Failure Detection

The current computer vision-based methods for identifying broken teeth on mining shovels suffer from a prohibitively high false-positive rate (FPR) of 25%. In this white paper, you will learn how advanced technology can reduce the FPR to 5%. The paper also details a two-step process for capturing images as well as an algorithm to perform a binary classification for model development and testing.

Sep 5, 2019

15 min read

Article ATC

Image Classification of Race Cars

In this paper, we explore the use of artificial intelligence to perform an image sorting task to gain a competitive edge in a NASCAR race.

Sep 5, 2019

20 min read

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