Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.

Scientists say they’ve developed a framework to make computer algorithms “safer” to use without creating bias based on race, gender or other factors. The trick, they say, is to make it possible for ...

Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of ...

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

As algorithms play a growing role in determining content, critics say the results are often filled with biases. Women see ads for lower paying jobs and African-Americans for cheaper neighborhoods. Can ...

Tech giants love to tout how good their computers are at identifying what’s depicted in a photograph. In 2015, deep learning algorithms designed by Google, Microsoft, and China’s Baidu superseded ...

A new quantum computing protocol may be able to augment a standard technique for understanding molecules in chemistry, ...

The exponential growth in computer processing power seen over the past 60 years may soon come to a halt. Complex systems such as those used in weather forecast, for example, require high computing ...