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.
A DHS program uses the latest tools to identify victims of child sexual exploitation and pursue their traffickers.
Developed by the search giant, open source Kubernetes gives IT managers an automated solution to container management.
BRICS offers biomedical researchers a modular, generic and rapidly deployable system for global collaboration.
Los Angeles County built a platform that links data mining, social network analysis and rules management to fight child care fraud.
The Next Generation Identification project speeds the matching of fingerprints and facial images in criminal investigations.
State and local governments are balancing privacy, security and citizen service as the amount of available data explodes -- and finding that policy needs to catch up with the tech.