Rather than trying to screen apps for malware, researchers suggest it may be more effective to monitor the behavior of installed apps for signs of improper behavior.
GeoMesa distributes geospatial data processing over the scalable resources of Hadoop, virtually eliminating the limits to the amount of data that can be managed.
Researchers at the University of Washington have developed a way that passive, or reflected, signals can help IoT sensors transmit data while using far less power than existing Wi-Fi devices.
Crowdsourced image validation combined with machine learning shrinks the pool of imagery requiring human analysis.
The Robotarium would give researchers remote access to expensive equipment on which to test swarm robotics software.
Using image-compression technology with a meta raster format that breaks files into three parts that can be cached separately, users not only get faster performance but also lower storage requirements.
The latest technology transfer report highlights technologies that have come out of the nation’s space program and entered Earth-based markets.
A quick sampling of recent advances shows that the pace of innovation is picking up steam.
Many mobile apps transmit user identifiers, locations and passwords without providing any obvious benefit to the user.
Despite the low energy of Wi-Fi signals, they can be used to effectively penetrate concrete to detect human movement and to map spaces and objects inside buildings.