Artificial intelligence is getting more powerful—but it's also racking up a massive energy bill. Some estimate that one ...
There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...
What will be the next blockbuster research to emerge from Princeton’s labs? No one can say for sure, but history tells us ...
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
Researchers at Duke University have created a new artificial intelligence framework designed to uncover straightforward, easy ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Ramanujan’s elegant formulas for calculating pi, developed more than a century ago, have unexpectedly resurfaced at the heart ...
Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
From building a workforce to boosting research and education – future quantum leaders have their say
Quantum can learn from the AI hype cycle, finding ways to manage expectations of what could be a very transformative technology. In the near- and mid-term, we need to not overplay things and be ...
Abstract: Machine learning draws its power from various disciplines, including computer science, cognitive science, and statistics. Although machine learning has achieved great advancements in both ...
A team of engineers at Sandia National Laboratories have developed ways to rapidly evaluate new thermal protection materials ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback