EPA’s Office of Compliance, in partnership with the University of Chicago, built a proof-of-concept to improve enforcement of environmental regulations through facility inspections by the EPA and state partners. The resulting predictive analytics showed a 47% improvement of identifying violations of the Resource Conservation and Recovery Act.

AI Chatbot
• Successfully developed and deployed HRSA EHBs AI Chatbot using Artificial Solutions Teneo platform for external HRSA EHBs grantees
• Built to allow grantees to communicate with the EHBs Chatbot using regular natural conversational expressions
• Provides knowledge- and action-based responses through a self-service platform with 24/7 availability
• Integrated with existing EHBs application UI and Salesforce for automated ticket creation

The platform enables users to make better decisions faster by identifying and forecasting emerging events on a global scale to mitigate risk, recognize threats, greatly enhance indications and warnings, and provide predictive intelligence capabilities. The artificial intelligence / machine learning models enable rapid access to automated intelligence assessments by fusing, processing, exploiting and analyzing open sources of data (including news, social media, economic indicators, governance indicators, travel warnings, weather and other sources).

The system permits autonomous detection, identification, and tracking of items of interest. The tower scans constantly and autonomously; radar detects and recognizes movement; and the camera slews autonomously to the items of interest and the system software identifies the object. The system utilizes artificial intelligence / machine learning to analyze the camera and radar data which alerts the user and autonomously tracks the item of interest. End users can monitor the system and see near real-time photos by logging into the User Interface on any USCBP device.

The agent portable surveillance system is a backpack mobile unit meant for single agent deployments. The system identifies border activities of interest by using artificial intelligence / machine learning to analyze data from Electro-Optical/Infra-Red cameras and radar. When an activity is detected, the system sends the information to agents through the Team Awareness Kit (TAK). Detections are shared with CBP TAK users to enhance efficiency and agent/officer safety.

Explore the use of big data, artificial intelligence (AI), and machine learning technology and tools on phasor measurement unit (PMU) data to identify and improve existing knowledge, and to discover new insights and tools for better grid operation and management.

The goal this research is to develop and validate novel and scalable models to achieve faster-than-real-time prediction and decision-making capabilities. To achieve the project goal of autonomous operation of microreactors, a novel hybrid modeling approach combining both physics-based and artificial intelligence techniques will be developed at the component or sub-system level, integrated with anticipatory control techniques, and scaled.

This project will develop a system that utilizes non-traditional measurement sources such as vibration, acoustics, current, and light, and traditional sources such as flow, and temperature in conjunction with data-based, machine learning techniques that will allow for signal discovery. The goal is to characterize stages within a solvent extraction process can increase target metals recovery, indicate process faults, account for special nuclear material, and inform near real-time decision making.

This research will develop a digital twin of a centrifugal contactor system that receives data from traditional and real time sensors, constructs a digital representation or simulation of the chemical separations component within the nuclear fuel cycle, and performs data analysis through machine learning to determine anomalies, failures, and trends. The research will include the identification and implementation of advanced artificial intelligence, machine learning, and data analysis techniques advised by a team of nuclear safeguards experts.

Veridat offers a Trust-as-a-Service (TaaS) solution for B2B contracting, where blockchain technology aggregates a catalog of immutable, timestamped, and verifiable data records. Our light-weight, cloud-native service (RESTful API) inserts into existing research workflows. Without exposing the underlying data themselves, unique hashes are used to confirm whether records are complete and accurate. Veridat integrates the needed payment systems, obviating the need for customers to own or handle native tokens.