Toronto has entered a joint venture with a Google sister company to create a high-tech urban development area. The goal is to 're-imagine cities from the internet up' – Google's internet, of course.
It's not enough to base teaching and learning policy on big data analysis, evidence needs to be rich, persuasive and justifiable and provide practical support to develop teaching approaches.
Plenty of debate on Twitter about the marriage reform survey, and data from that can be crunched to predict the result. So what is it?
Gerrymandering is being hotly debated around the US. Can math help us figure out how to divide the country up fairly?
What can be done to prevent employers from rejecting individuals based on concern about future illnesses? Currently, nothing.
Treating video like a mutating gene could improve surveillance software.
One way to cut your household bills could be to deal with just one company for all your utility needs. With today's technology, it's an idea that's not so far fetched as it sounds.
To attract the most crowdfunding, a product should be framed as either new or useful.
Technology is driving a revolution in the way radio astronomers study the universe, and it could lead to new discoveries.
We don't know whether electricity generators are bidding in "good faith" because they are providing data in a form that defies analysis.
Knowing a city’s professional network ratio helps to understand how connected its inhabitants are to other markets, customers and ideas. All support innovation, adaptation and city growth.
A new study connects the dots between published science and patented innovations, mapping just how society benefits from basic scientific research.
Artificial intelligence now plays as big a role in election campaigns as traditional campaign tactics.
July 30 marks the United Nations’ World Day Against Trafficking in Persons. How can computer scientists help combat this problem?
We should consider how artificial intelligence will impact how we teach, what we teach, and its potential to ethically support innovation and improvement in education.
Smart machines are about to usher in the age of Industry 4.0.
The disruptive impact of intelligent machines and new social movements will force us to remake citizenship into a more personal pursuit over the next 150 years.
Today algorithms are ubiquitous, yet often misunderstood. Rather than mysterious entities, they're closer to recipes, and the quality of the output depends on the input – in their case, data.
Methods stemming from decades of research on disordered materials are used to describe algorithmic phase transitions, and to design new algorithms in machine-learning problems.
The Supreme Court may soon hear a case on data-driven criminal sentencing. Research suggests that algorithms are not as good as we think they are at making these decisions.