night light


Netgear Arlo Baby review: a better baby monitor

PCWorld

Beneath the kid-friendly kit are the robust features we've seen in Netgear's Arlo Q indoor security camera: 1080p full HD video, night vision, sound and motion detection, two-way audio, 24/7 recording, and free cloud storage. Lastly, a pair of sensors monitor indoor temperature, humidity, and air quality levels and alert you when they're out of range, so you can maintain an optimum nursery environment. Along the top of the streaming window are Wi-Fi, battery, and sound and motion alert indicators; access a to timeline for use with CVR plans; and a counter displaying how many unwatched video clips are in your library. Under the window are the camera controls: buttons for pausing the stream, recording video on demand, taking a snapshot of the live feed and toggling the mic and speaker on and off.


Can Satellites Learn to 'See' Poverty?

The Atlantic

Night lights, therefore, appear to be an incredible resource. So much so that in countries with poor economic statistics, they can serve as a proxy for a regional wealth survey--except no one has to go house to house, running through a questionnaire. Yet research has also shown this not-a-survey will remain inexact: To a satellite at night, a few well-lit mansions and a dense but poorly lit shantytown can look nearly the same. A new paper from a team at Stanford, published last week in Science, applies a trendy technique to this tricky problem. In order to make night lights more discerning, engineers and computer scientists fed a convolutional neural net--a standard type of artificial intelligence program--a series of data sets.


Satellite Images Can Help Predict Poverty

#artificialintelligence

Scientists at Stanford University have found a new method in predicting poverty through the use of machine learning and satellite images. Using three data sources namely daytime images, night light images, and survey data, scientists built an algorithm to predict how wealthy or poor an area is. The first step involved deep learning techniques, where computers were taught to predict where night lights could be found simply by looking at daytime images. We trained a computer model to find things in imagery that are predictive of poverty.


Satellite Images Can Help Predict Poverty - Artificial Intelligence Online

#artificialintelligence

Scientists at Stanford University have found a new method in predicting poverty through the use of machine learning and satellite images. Using three data sources namely daytime images, night light images, and survey data, scientists built an algorithm to predict how wealthy or poor an area is. The first step involved deep learning techniques, where computers were taught to predict where night lights could be found simply by looking at daytime images. We trained a computer model to find things in imagery that are predictive of poverty.


Satellite images of Earth help us predict poverty better than everTrue Viral News

#artificialintelligence

Scientists at Stanford University fed a computer three data sources -- night light images, daytime images, and actual survey data -- to build an algorithm that predicts how rich or poor any given area is. Using night lights to predict poverty provides important information about the economic growth of different countries, says Simon Franklin, an economics researcher at the London School of Economics who was not involved with the study. By teaching computers which daytime features translate to night light, researchers can make better predictions about which places are poor. But there isn't much survey data, so using deep learning to connect daytime images and poverty information wouldn't create a very accurate algorithm.