Pollution Prediction; Bitcoin’s Big Problem; and more [Weekly Computing Newsletter]

September 3, 2015

Weekly Computing Newsletter

  thumbnail  

News

IBM Tests Machine Learning to Help Chinese Cities Decrease Air Pollution

IBM researchers are developing a system that can predict how bad pollution will be across the city of Beijing 72 hours in advance.

 

  thumbnail  

News

Gavin Andresen on Why Bitcoin Will Become Unreliable Next Year Without an Urgent Fix

The man who took over stewardship of Bitcoin from its mysterious inventor says the currency is in serious trouble.

 

Advertisement

Advertisement

  thumbnail  

News

Smartphones Can Detect Boredom and Push Content to Relieve It

A group of researchers looked at how people used their phones to figure out when they were bored, then suggested they go read a BuzzFeed article.

 

 

News

How Your Body Could Become Part of a Better Alternative to Bluetooth

Researchers say magnetic signals sent through your body may be helpful to communicate data between wearable gadgets.

 

  thumbnail  

View

Machine Learning Algorithm Predicts Which New Faces Will Make It as Fashion Models

A machine-learning algorithm picks out the fashion models most likely to succeed.

 

 

View

Why Is Nest's Smart Thermostat Getting Bigger?

A larger display may get users to pay more attention to it, which could help it become more of a smart-home hub.

 

 

View

Recommended from Around the Web (Week ending August 29, 2015)

A roundup of the most interesting stories from other sites, collected by the staff at MIT Technology Review.

 

 

View

Seven Must-Read Stories (Week ending August 29, 2015)

Another chance to catch the most interesting and important articles from the previous week on MIT Technology Review.

 

  See More Stories »  

If you would like to update the frequency or type of newsletters received, please edit your newsletter preferences or unsubscribe from all MIT Technology Review communications.

MIT Technology Review
One Main Street
Cambridge, MA 02142

Advertisement

Advertisement

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s