Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

In essence, PAI is being used for data center optimization to support the demands of digital AI (DAI) applications like ...

A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Artificial Intelligence (AI) is now part of our everyday life. It is perceived as "intelligence" and yet relies fundamentally on statistics. Its results are based on previously learned patterns in ...

Sometimes human intervention and an “old school” approach is needed, said Anatoly Crachilov, founding partner and CEO of Nickel Digital Asset Management.

Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to streamline trial workflows and reduce operational burden, while also ...

In 2021, a unit of healthcare giant Johnson & Johnson announced “a leap forward”: It had added artificial intelligence to a ...

An Australian tech company has raised more funds to go toe-to-toe in international markets and join the race for engineering talent.

TinyML sensors detect chainsaws, gunshots, and animal calls offline, offering a new way to protect wildlife in remote ...

The two countries employ 70 percent of the world’s top machine learning researchers, command 90 percent of global computing power, and attract the vast majority of AI investment—more than twice the ...