Agencies looking to make the most of automation can use the robotic quotient framework to gauge their likelihood of success.
The Intelligence Advanced Research Projects Activity wants 960 hours of annotated video data to help it train computer vision algorithms for law enforcement and public safety.
An advanced enterprise asset management solution with built-in analytics and artificial intelligence is a more effective way to help overcome the shortage of skilled technicians.
Automated and digital services can improve customer experience so long as they're consciously deployed in service to drivers that matter, according to the author of Forrester's U.S. Federal Customer Experience Index.
Celebrating those who have leveraged artificial intelligence and automation to help agencies gain insights into their data and deliver services faster and more accurately.
The AI.gov website offers a collection of federal policies and strategies that are helping accelerate the development of artificial intelligence.
Argonne National Laboratory will use Aurora for machine learning and simulation problems in space research, drug response predictions and weather forecasting.
The Real-Time Machine Learning Grand Challenge aims to create processors that can interpret and learn from data in real-time with the energy efficiency of the human brain.
Research with generative adversarial networks may explain how neural networks learn and make decisions.
Carnegie Mellon University will lead a consortium of universities developing solutions to support autonomous processing and highly effective human-machine teams.
Predictive analytics can give agencies and their contractors a better understanding of supplier risks over time so they can make more informed decisions.
Factoring humans’ decisions -- and confidence level in those choices -- together with algorithmic judgments, yields a more accurate result than people or machines can deliver independently.
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