Materials known as metal-organic frameworks (MOFs) have a rigid, cage-like structure that lends itself to a variety of applications, from gas storage to drug delivery. By changing the building blo .
MIT researchers developed a computational approach to predict which metal-organic framework (MOF) structures will be the most stable, and therefore the best candidates for applications such as capturing greenhouse gases.
How does an iPhone predict the next word you’re going to type in your messages? The technology behind this, and also at the core of many AI applications, is called a transformer; a deep-learning a .
New AI model transforms research on metal-organic frameworks miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.
How can an iPhone predict the next word to be written in a message? A transformer, which is at the heart of many AI applications, is the technology underlying this. It is a deep-learning algorithm that discovers patterns in datasets.