Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...

Going ahead, the team aims to explore additional deep learning algorithms for 3D object detection, recognizing the current focus on 2D image development. In summary, this groundbreaking study could ...

When automated optical inspection (AOI) works, it is almost always preferable to human visual inspection. It can be faster, more accurate, more consistent, less expensive, and it never gets tired.

Researchers show that category learning can be influenced by where an object is in our field of vision. We humans are pros at category learning -- the process by which we classify things, whether ...

At a time when adult education is being digitized at breakneck speed, a counter-trend is asserting itself: that of a return to the body, to materiality and to objects as living supports for learning.

At a Smithsonian museum just off the National Mall, PreK-8th grade students engage in free field trip experiences that focus on storytelling through design, problem solving, and object-based learning ...

The Learning Object Repository [LOR] allows us to create items centrally for colleagues to copy into their courses and organizations. LOR items can be updated, applying changes to content items across ...

Ah, the much-maligned learning management system, the technology we collectively love to hate. It’s often bulky, either feature bloated or feature wanting, and has been created seemingly without ...