Artificial Intelligence Research & Development
Artificial Intelligence R&D
Keep up with the latest AI, ML and data science research from WWT
Our team of data science and analytics experts develop, conduct and report on a wide range of internal projects grounded in our deep understanding of industry use cases.
Learn about our team and explore some of our work below.
Our People
AI R&D is an initiative formed by WWT individuals interested in the future of AI and ML. It functions as a rotational program with an Operations team and an R&D Working team composed of data scientists, data engineers and application engineers.
Our Platform
Our AI R&D platform is a cloud-based containerized environment that gives us the extensibility and elasticity to develop, build and test AI/ML solutions. The platform's flexible architecture optimizes network and storage, while GPU-enabled devices provide the technical capabilities for algorithm training. ML infrastructure tools are deployed on top of the AI R&D platform to streamline workflows and automate the productionalization of projects from dataset to deployment.
Our Projects
All AI R&D projects -- which are developed, funded and conducted internally -- are geared toward applied research that unearths scientific discoveries in the AI/ML space that are innovative, solve problems and have potential commercial application. Industry use cases and datasets -- from mining, motorsports, utilities and more -- power our AI R&D work.
Our Output
The goal of WWT's AI R&D program is to produce reusable platform, workflow and algorithm components that can be leveraged for future AI/ML project work or as demos in our Advanced Technology Center (ATC). All projects result in a white papers made accessible to our customers and the wider AI community. Explore our latest findings below.
AI R&D White Papers
Smart Receiving: A Warehouse Automation Solution
Mitigating Bias in AI Using Debias-GAN
Deploying the AI R&D MLOps Platform to Enable End-to-End ML Workflows
MRI Radiomics: Tumor Identification and Reverse Image Search Using Convolutional Neural Network
An Ensemble Approach to Data Mining for Real-time Information Retrieval
Machine Learning Models for Route Consolidation
Obscuring and Analyzing Sensitive Information With Generative Adversarial Networks
Deep Learning With NVIDIA DGX-1