Teach Global Impact in CSP | Resources and Strategies

Faster Programs, Easier Programming

November 10, 2016November 11, 2016 by Michael Morguarge

Michael Morguarge

1644

Published By: MIT News, 11/7/2016 >> View the Article << Summary Researchers from MIT's CSAIL and Stony Brook University are researching ways to make using multi-core computers easier. They have created a method for describing, in…

More...

Beyond Silicon: Squeezing More out of Chips

November 2, 2016November 10, 2016 by Anna Clark

Anna Clark

1888

Published By: The New York Times, 10/30/2016 >> View the Article << Summary As engineering progress slows, scientists try to find creative solutions to provide cheaper and faster computer chips. Researchers are attempting to create computer…

More...

Computer Scientists Find ‘Inexact Computing’ Can Improve Answers

October 31, 2016November 10, 2016 by Michael Morguarge

Michael Morguarge

1710

Published By: Rice University News & Media, 10/20/2016 >> View the Article << Summary Researchers at Rice University are investigating whether the use of "inexact computing" can make supercomputers more energy efficient. They are seeking to optimize calculation…

More...

AI Predicts Outcomes of Human Rights Trials

October 28, 2016November 10, 2016 by John Daniell

John Daniell

1465

Published By: University College London/UCL News, 10/24/2016 >> View the Article << Summary Artificial intelligence has recently been used to predict (past) judicial decisions in the European Court of Human Rights to a surprising degree of accuracy.…

More...

How Vector Space Mathematics Helps Machines Spot Sarcasm

October 24, 2016November 9, 2016 by John Daniell

John Daniell

1629

Published By: MIT Technology Review, 10/13/2016 >> View the Article << Summary Researchers at the Indian Institute of Technology are focusing on a new strategy for recognizing sarcasm automatically. This development represents a step forward in helping…

More...

UA Uses Big Data to Solve Bus Woes in Brazil

October 19, 2016November 11, 2016 by John Daniell

John Daniell

1535

Published By: UANews, 10/12/2016 >> View the Article << Summary The University of Arizona is using big data to help resolve public transportation issues in Fortaleza, Brazil. The algorithms they have created help identify problem areas that…

More...

Can We Open the Black Box of AI?

October 13, 2016October 13, 2016 by Anna Clark

Anna Clark

1893

Published By: Nature International Weekly Journal of Science, 10/5/2016 >> View the Article << Summary Scientists attempt to understand how computers think and learn in order to verify the reliability of large scale data analysis. This article covers…

More...

Google Translate Gets a Deep-Learning Upgrade

October 12, 2016 by John Daniell

John Daniell

1593

Published By: IEEE Spectrum, 10/3/2016 >> View the Article << Summary Engineers at Google are upgrading their Google Translate service to use deep learning, which is an artificial intelligence technique. This is the first time this…

More...

Google Open-Sources Show and Tell, a Model for Producing Image Captions

October 3, 2016October 3, 2016 by Anna Clark

Anna Clark

1614

Published By: Venture Beat, 9/22/2016 >> View the Article << Summary With the help of crowdsourced data, Google AI's image recognition algorithms are achieving greater accuracy. Objects in photographs are now more accurately described, and are…

More...

A Beauty Contest Was Judged by AI and the Robots Didn’t Like Dark Skin

September 9, 2016September 21, 2016 by Julia Bernd

Julia Bernd

2218

Published By: The Guardian, 9/8/2016 Summary: Beauty.AI developed a set of algorithms to judge photos according to five factors in human standards of beauty; it disproportionately chose photos of white people. The article discusses the potential…

More...

Inferring Urban Travel Patterns From Cellphone Data

September 5, 2016September 21, 2016 by Julia Bernd

Julia Bernd

1616

Published By: MIT News, 8/29/2016 Summary: Researchers are using data on the locations people make calls from to model the movement patterns of Boston commuters; the system may replace or supplement surveys of residents. The article…

More...

How an Algorithm Learned to Identify Depressed Individuals by Studying Their Instagram Photos

August 31, 2016September 21, 2016 by Julia Bernd

Julia Bernd

1586

Published By: MIT Technology Review, 8/19/2016 Summary: Researchers have developed a machine-learning algorithm that achieves 70% recall in identifying depressed individuals by characteristics of their (pre-diagnosis) Instagram photo posts. This is a great example of a…

More...