资讯

Devdiscourse3 天

Artificial intelligence key to advancing food security through microbiome analysis

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...
Devdiscourse4 天

When Poverty Maps Fail: Machine Learning Overpredicts Rural Welfare, Study Warns

The ADB–Cornell study finds that machine learning poverty maps often misfire, overestimating welfare in poor, rural, ...
ProPublica2 年

The (Random) Forests for the Trees: How Our Spillover Model Works

ProPublica is a nonprofit newsroom that investigates abuses of power. Sign up to receive our biggest stories as soon as they’re published. This year at ProPublica, we’ve paired computer modeling with ...
Science Daily1 年

Scientists use machine learning to predict diversity of tree species in forests

Researchers used machine learning to generate highly detailed maps of over 100 million individual trees from 24 sites across the U.S. These maps provide information about individual tree species and ...
EurekAlert!1 年

Scientists use machine learning to predict diversity of tree species in forests

Overview from Bartlett Experimental Forest, New Hampshire (BART) showing 4,352,930 tree predictions for 7 species at 3 spatial scales. A collaborative team of researchers led by Ben Weinstein of the ...
The Economist2 年

It doesn’t take much to make machine-learning algorithms go awry

The algorithms that underlie modern artificial-intelligence (AI) systems need lots of data on which to train. Much of that data comes from the open web which, unfortunately, makes the AIs susceptible ...