Scientists at Brigham Young University (BYU) have developed an algorithm that can accurately identify objects in images or videos and can learn to recognize new objects on its own.

The BYU algorithm tested as well or better than other top object recognition algorithms to be published, including those developed by NYU’s Rob Fergus and Thomas Serre of Brown University. Lee and his ...

SAN DIEGO, Feb. 23, 2021 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) ('GBT” or the “Company”), together with GBT Tokenize Corp (“ ...

Take a use case like traffic sign recognition, for instance, CNN based algorithm will outperform in accuracy of identification all of today’s object detection algorithms. In addition to the high ...

PALO ALTO, Calif., Dec. 14, 2021 /PRNewswire/ -- Orbital Insight, the leader in geospatial intelligence, today announced the launch of multiclass object detection algorithms within its GO platform ...

The integration of UAVs and AI is enabling faster, safer, and more scalable ecological surveillance. Multirotor drones offer ...

Smart object recognition algorithm doesn't need humans Date: January 16, 2014 Source: Brigham Young University Summary: If we've learned anything from post-apocalyptic movies it's that computers ...

Multiclass object detection uses advanced computer vision algorithms to identify and differentiate between classes of ships, aircraft and vehicles within satellite imagery.