REDWOOD CITY, Calif., Sept. 2, 2020 – C3.ai, an enterprise artificial intelligence (AI) software provider for accelerating digital transformation, announced an agreement with the United States Air Force (USAF) Rapid Sustainment Office (RSO) to deliver and deploy the C3 AI Suite and C3.ai Readiness to support predictive analytics and maintenance across the Air Force enterprise. Predicting an aircraft weapon system's readiness and increasing fleet availability is essential to the U.S. military's operational success. RSO's Condition-Based Maintenance Plus (CBM) Program Office will use the C3 AI Suite and extend C3.ai Readiness to deploy an AI-based predictive maintenance application for the USAF to improve the efficiency and effectiveness of maintenance processes. The RSO will deploy this application to the HH-60 Pave Hawk aircraft weapon system and then assess further fielding to additional aircraft weapon systems. This initiative will also lay a foundation and framework for the enhancement of RSO's overall AI and machine learning capabilities. "C3.ai's proven technology has demonstrated success across multiple industries with its AI-based readiness application for predictive maintenance and logistics planning, making C3.ai an ideal partner to implement RSO's vision to increase mission readiness," said Nathan Parker‚ RSO Deputy Program Executive Officer.

The Software Engineering Institute is creating a movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt artificial intelligence and machine learning to provide leap-ahead mission capabilities, we are working to provide the processes, practices, and tools to support operationalizing AI for robust and trustworthy mission capabilities. Our work includes scalable AI and ML; the tailoring of modern software practices for AI-enabled systems; architectures, design patterns, modeling, and representations; building tools and processes for trustworthy development of AI-enabled capabilities; and test, evaluation, verification, and validation of AI systems. Of course, building and maturing the discipline of AI Engineering also requires applying AI technologies to build real-world, mission-scale capabilities through envisioning creative solutions, solving practical engineering problems, and learning from those experiences. Are you creative, curious, energetic, collaborative, technology-focused, and hard-working?

The Software Engineering Institute is creating a movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt artificial intelligence and machine learning to provide leap-ahead mission capabilities, we are working to provide the processes, practices, and tools to support operationalizing AI for robust and trustworthy mission capabilities. Our work includes scalable AI and ML; the tailoring of modern software practices for AI-enabled systems; architectures, design patterns, modeling, and representations; building tools and processes for trustworthy development of AI-enabled capabilities; and test, evaluation, verification, and validation of AI systems. Of course, building and maturing the discipline of AI Engineering also requires applying AI technologies to build real-world, mission-scale capabilities through envisioning creative solutions, solving practical engineering problems, and learning from those experiences. Are you creative, curious, energetic, collaborative, technology-focused, and hard-working?

Most people have heard about self-driving cars, with companies from Google to Honda developing autonomous vehicles. But driverless technology could be going beyond cars, with the testing of a self-flying helicopter. A Sikorsky S-76 commercial helicopter has now successfully taken off and flown autonomously 30 miles, before landing itself safely. The helicopter in the trial was the Sikorsky S-76 model which used Sikorsky's MATRIX system The Sikorsky Autonomy Research Aircraft (SARA), used Sikorsky's MATRIX system. This is the same system that is use in the Optionally Piloted Black Hawk (OPBH) Demonstrator.

Most people have heard about self-driving cars, with companies from Google to Honda developing autonomous vehicles. But driverless technology could be going beyond cars, with the testing of a self-flying helicopter. A Sikorsky S-76 commercial helicopter has now successfully taken off and flown autonomously 30 miles, before landing itself safely. The helicopter in the trial was the Sikorsky S-76 model which used Sikorsky's MATRIX system The Sikorsky Autonomy Research Aircraft (SARA), used Sikorsky's MATRIX system. This is the same system that is use in the Optionally Piloted Black Hawk (OPBH) Demonstrator.

Most people have heard about self-driving cars, with companies from Google to Honda developing autonomous vehicles. But driverless technology could be going beyond cars, with the testing of a self-flying helicopter. A Sikorsky S-76 commercial helicopter has now successfully taken off and flown autonomously 30 miles, before landing itself safely. The helicopter in the trial was the Sikorsky S-76 model which used Sikorsky's MATRIX system The Sikorsky Autonomy Research Aircraft (SARA), used Sikorsky's MATRIX system. This is the same system that is use in the Optionally Piloted Black Hawk (OPBH) Demonstrator.