Create smart low-cost environmental sensing DNN devices that integrate with the low-latency decentralized cloud
Our project demonstrates how to detect defective sensors and 'change point' detection for discovering changes in operations
The $1.2 trillion Infrastructure spending will require a new approach to the knowledge management. We demonstrate how Tigergraph can be used to manage large utility network assets with fast queries.
Improve the resilience to flood events through the segmentation of flooded areas in images. Accurate segmentation in real-time is a critical requirement for deploying first responders effectively.
Predict California wildfires with Sagemaker-based LightGBM AI model. Visualize California wildfire history and predictions with Amplify Geo for AWS Amplify.
Natural Language Processing (NLP) of crowd sentiments that influence the stock market behavior
The project goal is to improve the resiliency to environmental disasters by providing critical data to the emergency response decision support team by integrating IoT devices with a digital city twin.
Create industrial strength prototypes of ventilators, Bag-Valve-Mask (BVM) type and Blower type, building upon the open source designs and expired patents
Build an academic research and education AI/ML foundation for applications to the diseases of the eye. These mobile and cloud-based tools will be used by doctors who need not have prior AI training.
Provides a ten-fold reduction in cost per environmental data logger while improving the features and reliability.
Intelligent Environment App for Smart Water Analytics including Road Flooding Detection with Computer Vision
AMD helps you manage assets in Predix APM.It provides alerts+analytics on machine data to optimize asset performance
