Have you ever seen (or eaten) a delicious meal and wished you had the recipe to make it? Now all you have to do is take a picture and give it to an algorithm developed by MIT's Computer Science and ...

Back in 1999, Erik Demaine was a PhD student who created an algorithm that determined the folding patterns necessary to turn a piece of paper into any 3D shape. However, the algorithm was far from ...

A group of researchers at the Massachusetts Institute of Technology have devised a potentially more effective way of helping computers solve some of the toughest optimization problems they face. Their ...

Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. A new ...

A new system developed by MIT researchers called "MosAIc" is finding hard-to-spot similarities between art pieces at the Metropolitan Museum of Art and Amsterdam's Rijksmuseum. MosAIc scans an image, ...

Employers are increasingly automating recruiting processes during the COVID-19 pandemic, according to sources who previously spoke to HR Dive. Virtual skill assessments, screening tools, on-demand ...

Scroll through Twitter and you’ll find plenty of sarcastic comments—not to mention lots of cases where sarcasm apparently went straight over someone’s head. Luckily, an algorithm MIT researchers ...

A deep learning algorithm developed at MIT has discovered new antibiotics that can treat drug-resistant diseases by killing 35 powerful bacteria. In 2017, the World Health Organization (WHO) named it ...

When we say that Erik Demaine has spent the best part of the past two decades folding paper into funny shapes, it’s a bit more impressive than it sounds. In fact, as an 18-year-old Ph.D. student (yes, ...

Of the multitude of assistive and autonomous driving technologies in existence, one of the best known and widely used is that that governs lane changing. Featured on dozens of models of all makes and ...

Self-driving cars are often thought of as superior to human drivers, but humans may still be able to teach the machines a thing or two. Autonomous cars aren’t particularly good at executing lane ...

Consider a group of drones that have to constantly exchange information on their position in order to avoid colliding with one another. Or a smart car that needs up-to-the-millisecond sensor data to ...