Defense Advanced Research Projects AgencyTagged Content List

Automation Technologies

Automatic mechanical or digital operation

Showing 5 results for Automation + Resilience RSS
12/14/2015
Across the United States, 3200 separate organizations own and operate electrical infrastructure. The widely dispersed nature of the nation’s electrical grid and associated control systems has a number of advantages, including a reduced risk that any single accident or attack could create a widespread failure from which it might take weeks to recover. Since the late 1990’s, however, cost pressures have driven the integration of conventional information technologies into these independent industrial control systems, resulting in a grid that is increasingly vulnerable to cyber-attack, either through direct connection to the Internet or via direct interfaces to utility IT systems.
02/14/2019
Current AI systems excel at tasks defined by rigid rules – such as mastering the board games Go and chess with proficiency surpassing world-class human players. However, AI systems aren’t very good at adapting to constantly changing conditions commonly faced by troops in the real world – from reacting to an adversary’s surprise actions, to fluctuating weather, to operating in unfamiliar terrain. For AI systems to effectively partner with humans across a spectrum of military applications, intelligent machines need to graduate from closed-world problem solving within confined boundaries to open-world challenges characterized by fluid and novel situations.
March 5, 2019,
Executive Conference Center
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is sponsoring a Proposers Day to provide information to potential proposers on the objectives of an anticipated Broad Agency Announcement (BAA) for the Science of Artificial Intelligence and Learning for Open-world Novelty (SAIL-ON) program.
Modern-day software operates within a complex ecosystem of libraries, models, protocols and devices. Ecosystems change over time in response to new technologies or paradigms, as a consequence of repairing discovered vulnerabilities (security, logical, or performance-related), or because of varying resource availability and reconfiguration of the underlying execution platform. When these changes occur, applications may no longer work as expected because their assumptions on how the ecosystem should behave may have been inadvertently violated.
Current artificial intelligence (AI) systems excel at tasks defined by rigid rules – such as mastering the board games Go and chess with proficiency surpassing world-class human players. However, AI systems aren’t very good at adapting to constantly changing conditions commonly faced by troops in the real world – from reacting to an adversary’s surprise actions, to fluctuating weather, to operating in unfamiliar terrain.