The Defense Advanced Research Projects Agency aims to provide a deeper understanding of system component interactions and a unified view of system behaviors.
Personal voter information of more than 6 million voters in Georgia was illegally disclosed in due to a “clerical error.”
Researchers have developed a way to store and represent trajectories so that computers can compare them more efficiently -- helping human analysts separate signals from noise.
As local governments ramp up spending on IoT solutions, the return on investment financially, socially and economically shows a promising trend.
Deputy Secretary of Defense Robert Work said future automation will increasingly include human-machine collaboration.
NASA has released an RFI seeking suggestions on the architecture for its Planetary Data System.
According to IARPA Director Jason Matheny, researchers are making progress, but high-performance computing, machine learning and causality still need work.
The Aristotle Cloud Federation is designed to support scientists and engineers requiring flexible workflows and analysis tools for large-scale datasets.
The National Science Foundation announces more than $5 million in grants to help the innovation centers tackle specific regional priorities with big data and analytics.
Hitachi predictive technology for law enforcement combines real-time social media and Internet data feeds with historical data.
A team from Harvard Medical School is applying machine learning models to U.S. Army personnel datasets to predict violent behavior.
The market research firm handicaps platforms from the top enterprise analytics vendors.
The city is installing antennas on its libraries to build a low-power network for connected devices and the services they support.
The Crime Data Dashboard gives the public the same kinds of statistical information on property incidents and violent crimes used by Seattle's police.