Automated Post-Disaster Vessel and Debris Mapping from Remotely Sensed Imagery
LightningCast: A lightning nowcasting model
Machine Learning Collaboration Yields New Methods to Measure Shoreline Marine Debris
Anthropic - Claude For Government
Deploy Claude AI to automate the generation of comprehensive analytical reports, data visualizations, and documentation for research and policy analysis workflows. The system will…
Mussel Watch data management
Ice seal detection and species classification in multispectral aerial imagery
Edge AI survey payload development
Steller sea lion automated count program
Use of an Imaging Flow Cytobot for identification of phytoplankton and HABs in Alaska's Large Marine Ecosystems
Automated classification of zooplankton images
Acoustic and image-based habitat classification in the Gulf of Alaska using machine learning
Virtual Assistant (Public)
Chatbot on USPTO 's public-facing website to answer patent and trademark questions from the general public
Automated detection and abundance estimation of salmon and pollock in Alaska's walleye pollock fishery
Pre-Exam Application: Skill Group Matching
Auto-assign patent cases to examiner-groups based on application subject matter.
AI for Operations Center
Reduce human effort and increase efficiency in identifying Lessons Learned to work planning.
Natural Language Processing
Developed natural language processing (NLP) algorithms will be used to help categorize and understand various energy storage efforts in the R&D communities. Additionally, trends w…
DOE AI Data Infrastructure System
Leveraging generative AI and cloud-enabled data infrastructure to improve carbon capture and storage user experience
Creation of polymer datasets and inverse design of polymers with targeted backbones having High CO2 permeability and high CO2/N2 selectivity.
Creation of polymer datasets and inverse design of polymers with targeted backbones having High CO2 permeability and high CO2/N2 selectivity.
To use AI to calibrate the simulation model by matching simulation data with production history data.
To use AI to calibrate the simulation model by matching simulation data with production history data.
Data discovery, processing, and generation using machine learning for a range of CCS data and information
Data discovery, processing, and generation using machine learning for a range of carbon capture and storage data and information
Machine Learning for geophysical data inversion
Leak detection.
To help automate data discovery and preparations to support a range of CS models, tools, and products
To help automate data discovery and preparations to support a range of CS models, tools, and products
ORNL: Foundational AI Research
accelerate scientific discovery
ORNL: AI for Materials Science
accelerate scientific discovery