A recent study from researchers at Queen Mary University of London and University College London has drawn attention after ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...

A new AI dataset teaches machines to smell by associating smell data with images, letting models match odors to objects, ...

Light detection and ranging (LiDAR) sensors are a key component of advanced driver assistance systems (ADAS) and autonomous ...

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...

R760, D3 Embedded's DesignCore Discovery PRO Series Cameras contain the proven Sony ® ISX031 sensor, IP67 ingress protection, ...

You can mount these wireless security cams almost anywhere. After testing dozens of models, here are my favorites.

Abstract: Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown ...

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs ...

MassRobotics survey offers a snapshot of current practices, challenges, and future expectations about sensor fusion, AI ...

The global market for Automotive Radar was valued at USD 7190 Million in the year 2024 and is projected to reach a revised size of USD 20270 Million by 2031, growing at a CAGR of 16.2% during the ...

It’s an issue we can no longer afford to treat as theoretical. To address this threat, the space industry must transition from ground-based tracking to orbit-based detection systems capable of ...