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 ...

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 ...

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 have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

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.

MSRL copy purchased with funds from the S. Dillon Ripley Endowment. An introduction to object-based learning and multisensory engagement / Helen J. Chatterjee, Leonie Hannan and Linda Thomson -- ...

New data shows which tech skills have experienced the biggest increase in demand in recent years, and only one programming language makes the list If I asked you to name the programming language skill ...

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 ...