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 ...

Some of the key interactions between IP law and quantum computing involve the intersection of patents and copyright—each of which impacts how companies protect quantum computing hardware and software, ...

The use of algorithms to filter and present information online is increasingly shaping our everyday experience of the real world, a study argues. The use of algorithms to filter and present ...

Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs for ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When it comes to AI, algorithmic innovations are substantially more ...

Paul Schnackenburg, our 1-person SOC Down Under, goes into the basics of quantum computing, what the potential risks are, what steps you can take to mitigate those risks, what others in the industry ...

How does quantum computing help the finance industry? QCs are only in the developmental stage; experiments are already showing their great potential in the finance industry. Based on the World ...

Machine learning, a branch of artificial intelligence, allows a computer to teach itself how to solve problems by analyzing ...