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The Department of Energy announced plans to invest up to $40 million to research how artificial intelligence and machine learning can spur transformative advances across scientific disciplines.
By strategically spoofing LiDAR sensor signals, attackers can fool a vehicle’s LiDAR-based perception system into “seeing” an obstacle that’s not really there.
It’s not too soon for agencies to begin preparing for quantum computing’s impact on government security, according to a new report.
The Defense Advanced Research Projects Agency’s AtmoSense program aims to better understand how energy travels from the ground to the ionosphere. The hope is that the atmosphere could be used as a sensor to identify natural disturbances.
Researchers with the National Institute of Standards and Technology have evaluated the methods investigators use to access data on damaged or locked phones.
Robot-proof jobs will require greater interaction with technology, leading to higher pay and career satisfaction.
Algorithm-powered location intelligence can show geographic patterns and trends and help public health officials make predictions about fast-spreading viruses.
Researchers at MIT have hit on a way to reduce the size and power requirements of tracking tags while boosting their security.
A new study finds that risk assessment tools are significantly better than humans at interpreting the complexity and noisy data of the criminal justice system.
A LOC working group is learning to use 3D photogrammetry to build digital models of artifacts held in the Library’s collections.
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