Federal Artificial Intelligence News and Analysis
News and analysis covering the U.S. government’s advances in artificial intelligence, machine learning and robotic process automation. Federal agencies continue to make remarkable strides in the implementation of automation technologies to essential services, radically improving their efficiency and quality of delivery. Additionally, agencies including the departments of Veterans Affairs and Health and Human Services have begun applying artificial intelligence to medical care and public health quandaries, making significant leaps in diagnostics, research and epidemiology.
Artificial intelligence, facial recognition and machine learning could streamline and accelerate technology amid the pandemic.
Using artificial intelligence to facilitate biomedical research and combat the pandemic.
The agency is moving quickly toward a cloud-native model supported by an agile development framework.
DHS and DARPA are using AI to address public health concerns.
Watch a recap of our most recent event video, Artificial Intelligence: New Horizons in Medicine
Cross-agency partnerships and remote collaboration tools are encouraging knowledge sharing and practical application.
The challenges of the pandemic have only reinforced the importance of using data insights to improve patient care.
For many agencies, extended telework policies may require reevaluation of cyber risk posture.
Senior officials from DHS, DOJ and the FBI say smart data practices help them telework more efficiently.
As weather patterns change rapidly, the federal agency looks to update data for its flood analysis more quickly and efficiently.
AI is helping to prevent fraud, waste and abuse of funds.
Thundercat Technology and NetApp go over key strategies for federal agencies looking to adopt AI.
The agency is coupling API development with a focus on human-centered design to lay the groundwork for both current modernization and future initiatives.
The agency has implemented flexible technological capabilities to support ongoing COVID-19 response efforts.
Getting a handle on data strategies in cloud and multi-cloud environments can ensure efficient automation.
Successful AI and machine-learning capacities within health systems require a foundational attention to data quality and the broader care environment.
Artificial intelligence is one component the agency is hoping to streamline acquisitions and beyond.
Data-mining techniques will allow health researchers to sharpen COVID-19 literature and clinical trial database search results.
The agency is looking at how to best apply curated data sets to new use cases.