Data doesn’t have to travel as far or waste as much energy when the memory and logic components are closer together.

Abstract: Change detection in remote sensing (RS) images typically involves processing and analyzing RS images of the same geographic location captured at different times to identify changes. In ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

An ocean-mining company has funded some of the most comprehensive scientific studies of the deep seabed to date, and peer-reviewed results have begun to emerge. A collage of foraminifera, a kind of ...

ABSTRACT: Building on the Three-Level Theory of Cognition, this paper examines the architecture and foundational principles of deep learning in order to clarify its specific cognitive mechanisms and ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

MIT Detects Traces of a Lost ‘Proto Earth’ Deep Beneath Our Planet’s Surface MIT discovers traces of “proto Earth” buried deep within ancient rocks, offering clues to the planet’s earliest history.

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...