Sterling academic institutions have helped bring tech jobs and innovation to the area, keeping the city's educated young population growing even as the overall number of residents declines.
To help alert troops to chemical attacks, researchers are working to incorporate sensors into clothing that can detect chemical agents in the air.
About 84 percent of registered voters were put at increased risk of having their personal data exposed in the run up to the midterm elections.
The Federal Highway Administration is considering using passively collected data from smartphones and GPS signals to help it make sense of daily traffic volumes.
HHS Accelerate, which used distributed-ledger technology, machine learning and artificial intelligence, can now go into production with live data.
Cities are understanding that it makes more sense to reduce parking supply, set more efficient regulations and incentivize the use of non-automobile modes than to provide abundant, free parking.
Agencies must be proactive and have measures in place to protect against potentially vulnerable devices introduced into their networks.
The Intelligence Advanced Research Projects Activity wants software that can autonomously inspect a deep neural network and predict if it has a Trojan that could trigger a malfunction.
Machine-readable financial data would allow citizens to keep an eye on spending, streamline municipal bond financing and help local governments meet their reporting requirements.
To successfully maneuver a change as complex as AI implementation, organizations should lead with a human-centered approach.