Facebook, Inc.

Amy Zhang

Tobias Gerard Tiecke

Kevin Michael Birnbaum

Konstantin Kudinov

Andreas Gros

Xianming Liu

An optical system for responding to distortions in incident light in a free space optical communication system includes a machine learning output storing at least an indication of multiple images and corresponding positioning or orientation attributes for one or more optical elements; a sensor configured to generate an image; and a component configured to adjust the one or more optical elements based on the generated image. Various other methods, systems, and apparatuses are also disclosed.

Coherent aperture combining using machine learning

In one embodiment, a method includes receiving an image on a computing device. The computing device may further execute a weakly-supervised classification algorithm to determine whether a target feature is present in the received image. As an example, the weakly-supervised classification algorithm may determine whether a building is depicted in the received image. In response to determining that a target feature is present, the method further includes using a weakly-supervised segmentation algorithm of the convoluted neural network to segment the received image for the target feature. Based on a determined footprint size of the target feature, a distribution of statistical information over the target feature in the image can be calculated.

Determination of population density using convoluted neural networks

An optical system for responding to distortions in incident light in a free space optical communication system comprises a machine learning output storing at least an indication of multiple images and corresponding positioning or orientation attributes for one or more optical elements; a sensor configured to generate an image; and a component configured to adjust the one or more optical elements based on the generated image.

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San Francisco, CA, United States of America

Amy Zhang