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 ...

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 ...

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 ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Fig. 1(a) illustrates a typical robotic manipulation system. It features a robotic arm equipped with sensors like cameras and end-effectors such as grippers, enabling it to manipulate a wide range of ...

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 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 ...