Machine learning puts a new spin on spin models

Researchers from Tokyo Metropolitan University have used machine learning to analyze spin models, which are used in physics to study phase transitions. Previous work showed that an image/handwriting classification model could ...

Driverless cars are going to disrupt the airline industry

As driverless cars become more capable and more common, they will change people's travel habits not only around their own communities but across much larger distances. Our research has revealed just how much people's travel ...

Future hypersonics could be artificially intelligent

A test launch for a hypersonic weapon—a long-range missile that flies a mile per second and faster—takes weeks of planning. So, while the U.S. and other states are racing to deploy hypersonic technologies, it remains ...

A user's guide to self-driving cars

You may remember the cute Google self-driving car. In 2014, the tech giant announced their brand-new prototype of what the future of transportation might one day look like. If you wish you could drive one today, you are out ...

Self-driving cars and geospatial data: Who holds the keys?

As self-driving cars continue to develop, there will be plenty of data amassed through cars' navigational technologies. Questions regarding privacy, ownership, cybersecurity and public safety arise, as heavily guarded mapping ...

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