News

In terms of performance, the black model of the iOptron SkyTracker Pro was selected for the purpose of this review. This ...
Systematic government collection and analysis of data about mysterious sightings in the sky could help Canada better prepare for incidents like the sudden appearance of several high-altitude balloons ...
F5 (NASDAQ: FFIV), the global leader in delivering and securing every app and API, today announced an expanded strategic partnership with MinIO, the leader in high-performance, object-native AI ...
It is important to build robust object detector (ROD) in real-world applications because snow, rain, fog, motion blur, and various kinds of corruption can occur in autonomous-driving environments.
"Remarkable" Pattern Discovered Behind Prime Numbers, Math's Most Unpredictable Objects It "represents theoretical math that could’ve been done decades ago" - but it has big implications for the ...
More than just a robot arm, the Roborock Saros Z70 is a top-tier floor cleaner. An efficient robot vacuum, that can also pick up your socks.
A robotic hand can pick up 24 different objects with human-like movements that emerge spontaneously, thanks to compliant materials and structures rather than programming.
YOLOv12 surpasses all popular real-time object detectors in accuracy with competitive speed. For example, YOLOv12-N achieves 40.6% mAP with an inference latency of 1.64 ms on a T4 GPU, outperforming ...
Roblox is launching and open-sourcing Cube 3D, the first version of its foundational AI model for generating 3D objects. The model is trained on 3D objects.
Goal: Developing robust object detectors using few annotations provided by annotator instructions. The detector should detect object instances of interest in real-world testing images.