Tag Archives: AI and machine learning

A Look at Homeland Security Innovation Strategy

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The mission of the Department of Homeland Security (DHS) is to "secure the nation from the many threats we face." An underlooked key to this statement is the word "many." Agencies under the Department are responsible for managing our borders, protecting the nation from cyber and physical threats, and supporting recovery from natural disasters and cyber attacks. To meet this mission, DHS has been embracing innovative approaches and emerging technology to supplement the efforts of the workforce charged with meeting these varied threats.

The DHS Innovation, Research & Development Strategic Plan laid out eight scientific areas as focal points for research to support national security:

  • Advanced sensing
  • AI and autonomous systems
  • Biotechnology
  • Climate change
  • Communications and networking
  • Cybersecurity
  • Data integration, analytics, modeling, and simulation
  • Digital identity and trust

As part of its work in each of these areas, DHS will be researching how emerging technology can support mission efforts as well as the risks technology poses to national security. In this blog, we'll take a look at the activity in a couple of these areas. Continue reading →

Continuing Cloud Innovation

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Use of Cloud Computing is now standard practice across federal, state, and local government agencies, but that does not mean the technology is growing stale. Organizations are finding new ways to use the flexibility of cloud computing to deliver on their missions.

Radio in the Clouds

The National Oceanic and Atmospheric Administration (NOAA) is examining options for a "transition from hardware-based ground radio processing to cloud-based software applications." In practice, this would mean digitizing NOAA radio frequencies using devices that are software-driven, rather than traditional hardware-based devices, to support the agency's satellite programs' need for telemetry processing--the reading and transmission of data from a remote source. Continue reading →