The Next Web

FOMO is a TinyML neural network for real-time object detection

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 ...
The Next Web

Here’s how deep learning helps computers detect objects

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 ...
The Conversation

The same people excel at object recognition through vision, hearing and touch – another reason to let go of the learning styles myth

Isabel Gauthier receives funding from the National Science Foundation. Jason Chow does not work for, consult, own shares in or receive funding from any company or organization that would benefit from ...
Smithsonian Magazine

The Case for Training Teachers in Object-Based Learning

The Case for Training Teachers in Object-Based Learning Object-based learning is a pedagogical approach core to many museum experiences, inspiring close observation and deep critical thinking. An ...
Princeton University

Objects Put to the Test: Learning Exercises in Contemporary Art

This paper will take up a question posed by many contemporary artists, curators and writers: how do “things” gain meaning as aesthetic objects, beyond traditional notions of the artwork? Remarkably, ...
JSTOR Daily

Learning from and with museum objects: design perspectives, environment, and emerging learning systems

Educational Technology Research and Development, Vol. 61, No. 5 (October 2013), pp. 841-862 (22 pages) Sociocultural approaches emphasize the systemic, context-bound nature of learning, which is ...