Those who get it right aren't just managing data better—they're making better decisions, faster and with greater confidence.

Multi-Sensor Fusion (MSF) is pivotal in advancing autonomous driving technologies. MSF has numerous challenges, such as data synchronization, noise reduction, and managing the high-dimensional data ...

Read the new e-book from Microsoft on how organizations can unify security operations to better meet the challenges of ...

But with that power comes vulnerability, and one of the most pressing—yet often overlooked—threats today is data poisoning.

Counting objects is an ideal task for automation, and when focusing on a single type of object, there are many effective ...

As AI has an unprecedented ability to analyze and discover hidden patterns in vast volumes of sensor data, the potential for physical AI could make construction processes far more predictable and ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at ...

Right now, everyone is drooling over AI – and rightfully so. Artificial intelligence is already rewriting the rules of work, ...

The Swedish-made Saab JAS 39 Gripen is a highly capable 4.5-generation fighter that compensates for its lack of all-aspect ...

Obtaining accurate data in any system is a challenging problem. Multi-sensor data fusion is a widely used technique to improve the accuracy. In this paper, measurement level fusion, covariance union ...