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

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

In a world increasingly shaped by artificial intelligence, the question of how machines make decisions under uncertain ...

New research highlights the potential of digital phenotyping to help manage patients’ worsening behavioral symptoms by ...

The administration’s long-awaited AI Action Plan gives Silicon Valley the green light.

Every year, thousands of new materials are created, yet many never reach their full potential because their applications aren ...

It has now been a year since I stepped into the role of co-Editor-in-Chief of the International Journal of Wildland Fire ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

As a veteran academic researcher, department chairperson and associate dean for research, I have seen this process play out from multiple perspectives – as a grant recipient, grant reviewer and ...

In Salt Lake City, data quality measurement clearing house DQC has announced enhancements to its platform, promising to ...

In the year of quantum, university’s faculty and students continue to innovate bold new work in quantum computing, ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...