The researchers identified a clear trade-off between environmental cost and predictive performance. Fully DFT-based workflows ...

AI & automation are revolutionizing materials discovery, enabling faster, and more sustainable breakthroughs across scientific fields.

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

PSECU appoints Eduardo Santos as VP of Growth Strategy to lead AI, analytics, and data-driven efforts for enhanced and ...

A new AI software aims to identify people at risk of dementia – during high street eye exams. Data scientists and clinical ...

In a new study, published July 18 in the high impact journal Science Advances, Western engineering professor Bing Li and his ...

Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Recent successes in applying computer vision and machine learning to drone imagery for rapidly determining building and road damage after hurricanes or shifting wildfire lines suggest that AI could be ...

It might seem like an obvious move to deploy drones to help look for flood victims, but floods pose unique challenges that stymie the technology.

AI has already evolved into a must-have tool for remarketers to work with greater clarity, make faster decisions, and run ...

Discover Stephen Wolfram's insights on AI, human cognition, and the future of knowledge in a world where machines think ...