InfoQ

Unsupervised Object Detection and Semantic Segmentation Using Deep Learning

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 ...
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 ...
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, ...
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 ...
Science Daily

Secret to more efficient learning

A new study could hold the key to learning languages, teaching children colors or even studying complex theories. A new study could hold the key to learning languages, teaching children colors or even ...
Inside Higher Ed

Cengage Learning Acquires Learning Objects

Cengage Learning is expanding its presence in the online program management market with the acquisition of ed-tech company Learning Objects and its learning platform, Difference Engine. Cengage CEO ...
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 ...