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 ...
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 ...
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 ...
Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...
Most people are familiar with the idea that machine learning can be used to detect things like objects or people, but for anyone who’s not clear on how that process actually works should check out ...
Developing effective management strategies for threatened species like koalas requires knowing where and how many are in a target area, but surveying cryptic low-density animals can lead to variable ...
While we know plastic is terrible for marine life, detecting plastic pollution in the ocean is notoriously challenging. Plastics come in many colors, break down to microscopic sizes, and are made of a ...
We present Brut, an algorithm to identify bubbles in infrared images of the Galactic midplane. Brut is based on the Random Forest algorithm, and uses bubbles identified by >35,000 citizen scientists ...
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