night light


15 Mother’s Day gift ideas for new and expecting moms

USATODAY

If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA TODAY's newsroom and any business incentives. Mother's Day is just around the corner, and if you have a new or expecting mother in your life, you probably want to get her something special--after all, it's her first Mother's Day! Whether you want to go the silly, practical, or sentimental route, we've got some ideas on how you can make this holiday one to remember. Check out these 15 Mother's Day gift ideas for new and expecting moms--there's something here to fit just about everyone's taste and budget. Sleepless nights call for espresso--lots of it.


This intelligent night light is killing it on Kickstarter

Mashable

Just to let you know, if you buy something featured here, Mashable might earn an affiliate commission. Smart home tech is having a moment, and we don't see it slowing down anytime soon. These days we have everything from pizza ordering devices and dog monitoring cameras to robots that can make pancakes. Enter: the smart night light. Zing is an intelligent, AI-powered night light that's currently killing it on Kickstarter -- and for good reason.


10 futuristic gadgets you didn't know your bathroom needed

USATODAY

If you make a purchase by clicking one of our links, we may earn a small share of the revenue. Our picks and opinions are independent from any business incentives. Sure, there are plenty of smart products that can help out in the living room, office, kitchen, or playroom. However, did you know there are also undeniably cool gadgets that can upgrade your bathroom? That's right--there are tons of smart products designed specifically for the bathroom, and they're more useful than you might expect!


Satellite images used to predict poverty - BBC News

#artificialintelligence

Researchers have combined satellite imagery with AI to predict areas of poverty across the world. There's little reliable data on local incomes in developing countries, which hampers efforts to tackle the problem. A team from Stanford University were able to train a computer system to identify impoverished areas from satellite and survey data in five African countries. Neal Jean, Marshall Burke and colleagues say the technique could transform efforts to track and target poverty in developing countries. "The World Bank, which keeps the poverty data, has for a long time considered anyone who is poor to be someone who lives on below $1 a day," Dr Burke, assistant professor of Earth system science at Stanford, told the BBC's Science in Action programme.


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. The technique could make it easier for organizations to know where across the world their aid is needed most. Also, this could help governments develop a better policy to prevent or fight poverty. 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 results of the study have been published in the journal Science.


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. The technique could make it easier for organizations to know where across the world their aid is needed most. Also, this could help governments develop a better policy to prevent or fight poverty. 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 results of the study have been published in the journal Science.


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

#artificialintelligence

The newest way to accurately predict poverty comes from satellite images and machine learning. This imaging technique could make it easier for aid organizations to know where and how to spend their money; it may also help governments develop better policy. We already know that the more lit up an area is at night, the richer and more developed it is. Researchers use this method to estimate poverty in places where we don't have exact data. But "night light" estimates are rough and don't tell us much about the wealth differences of the very poor.