Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...
In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.
While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...
MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...
Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...
A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...
The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...
Many people who try using AI are disappointed with the results and feel they can’t trust a machine – but are there lessons we can learn from how AI is taking on mathematics?
Much more difficult is learning to connect different types of stimuli or events, and predicting that one is linked to another. Such associative learning was most famously demonstrated when Ivan Pavlov ...
Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...
Finding the right information at the right time is critical for solving complex problems. Researchers have developed an algorithm that helps individuals locate needed information more efficiently by ...
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