Organizations pursuing missions in space need quick access to their data so they can support mission-critical systems, ongoing software development and analytics applications.
The Machine-Assisted Analytic Rapid-Repository System will leverage advances in cloud computing with artificial intelligence and machine learning.
The system will monitor and share data in real-time to enhance safety and improve traffic flow.
The Siemens City Performance Tool collects about up to 400 data points related to transportation, energy use and existing buildings and uses that information to simulate the economic and environmental impacts of investing in a range of technologies.
New tools give end users the ability to develop their own use-cases for AI-driven analytics.
Rather than trying to reproduce the complex calculations across the environmental factors involved in a flood event, researchers built a program that rapidly predicts the impacts of coastal flooding.
The Defense Advanced Research Projects Agency is testing its ChemSigma initiative, a pilot study to provide initial data and insights into how such real-time chemical sensor networks would function.
Geospatial data can become personally identifiable information, so cities must reconcile the competing goals of access and privacy with the need to securely share data, a new report says.
The Coastal Inundation Dashboard combines data from 200 coastal water-level stations into one web-based tool to help local decision-makers get real time information on an approaching storms as well as insights into longer-term risks like high-tide flooding and sea-level rise.
The space agency will be conducting a year-long test of its toaster-sized deep space atomic clock, designed to make sure spacecraft can navigate accurately and autonomously on journeys to Mars and beyond.