ARTIFICIAL INTELLIGENCE RESEARCH & DEVELOPMENT
Keep up with the latest AI, ML and data science research from WWT
Artificial Intelligence R&D
AI R&D at WWT is an applied research initiative focused on investigating the one- to three-year horizon of the artificial intelligence and machine learning (AI/ML) space.
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.
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 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.
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.
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.
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
Machine Learning for Shovel Tooth Failure Detection
What We're Uncovering in the Real World of AI Research and Development
Reinventing AI Research & Development: Part I
Reinventing AI Research & Development: Part II
Reinventing AI Research & Development: Part III
Reinventing AI Research & Development: Part IV
Enhancing a Distributed IoT Sensor Platform With Edge TPU-Based Object Detection
Pivoting World Wide Technology’s AI R&D Program During a Pandemic