More AI & Automation Articles
Drones of every stripe crawled and flew through mine shafts in DARPA’s latest subterranean technology competition.
The SemaFor program seeks to develop semantic technologies for identifying falsified media to better defend against large-scale, automated disinformation attacks.
To decrease its reliance on small unmanned aerial systems manufactured by Chinese firm DJI, the Department of Defense is looking to help establish a domestic manufacturing base for lightweight drones.
By looking for inconsistencies in how different parts of the face move from frame to frame over time, researchers have been able to spot deepfakes 96% of the time.
One of the biggest effects of autonomous vehicles may be on parking, as AVs leave expensive downtown spots behind in favor of cheaper parking outside the city center.
Widespread basic statistical and data literacy would aid awareness of the issues with statistical biases, and are a first step towards guarding against inappropriate use of algorithms.
A contracting initiative allows Virginia agencies and NASPO ValuePoint participants to purchase drone services from a master contract.
Security automation can help agencies meet challenges brought on by. unexpected staff and technology changes.
An artificial intelligence-based tool may help contracting officials rapidly pull relevant information on a vendor's previous performance.
Automating collections creates operational efficiency that can help agencies be more consistent, fair and ultimately more successful.
Agencies are already building the foundational infrastructure, talent pipeline and innovative culture that will support broad adoption of artificial intelligence.
Researchers have developed an algorithm stress test that creates powerful visualizations of a problem, showing all scenarios or examples an algorithm should consider for comprehensive testing.
While spam is taking advantage of artificial intelligence to create more deceptive communications, it is also vulnerable to attack.
Use cases help agencies adopt more mature data practices, which paves the way for iteratively developing new, more innovative applications that deliver even greater value.
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