Deep learning uses artificial multilayered neural networks and a vast amount of labeled sensor data to learn how to classify or detect objects. For the detection and classification of images, ...

Researchers are breaking through the difficulties of robotic recognition of various common, yet complex, items. Their layered sensor is equipped with material detection at the surface and pressure ...

“Accurate and rapid identification and depiction of objects from digital images (e.g., aerial images, smartphone images, etc.) and video data is increasingly important for a variety of applications.

The field of genomic research has undergone a remarkable transformation with the rapid expansion of high-quality genome databases, the discovery of epigenetic factors and the advent of CRISPR–Cas ...

Neural networks and related deep learning methods are currently at the leading edge of technologies used for classifying complex objects such as seismograms. However they generally demand large ...