“Logically, a system-of-systems approach to standoff explosive hazard detection ... the sensor sets which was needed to adequately train artificial intelligence/machine learning algorithms.

Fault Detection Model Development using AI Faults using sensor data can be detected by artificial ... fault tree tables (FTTs), frequency analyzer, machine learning algorithms such as Support Vector ...

Army researchers discovered a way to quickly get information to Soldiers in combat using new machine learning techniques. The algorithms ... such as fraud detection in the banking industry ...

By using large bio-signal datasets, machine-learning algorithms are able to find clear relationships that apply to most people. To do this, we take a bio-signal and artificially create gaps of a ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Using pattern recognition, the AI can identify patterns in data. This can be used for facial recognition, computer vision or any type of object detection ... type of machine learning algorithm ...

The company creates optical sensors and novel classification systems based on machine learning algorithms to identify ... by their sensors allows for early detection and thus the timely deployment ...

usually using a backpropagation algorithm. Batches of training data that are run together before applying corrections are called epochs. As with all machine learning, you need to check the ...