New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

What regulatory shifts in AI, cybersecurity, digital submissions, and capital strategy mean for your success in ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results ...

Thanks to the alternating single-double nature of the bonds, electrons in these orbitals end up delocalized; the differences between the bonds become a bit irrelevant, and the molecule is best viewed ...

State of Automotive Software Development Report. The transition of the automobile from a mechanical marvel to a sprawling, intricate digital landscape has reached a volatile ...

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

The economic impact estimates were generated using the Etiometry ROI tool, which leverages published clinical outcomes data and standardized healthcare cost assumptions. The analysis models a hospital ...

Launching Sovereign Carbon Infrastructure-as-a-Service (SCIaaS) for the Emerging Global Carbon Market ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

US approved export of 41,000 Nvidia GPUs to Armenia, marking phase 2 of building AI factory in the country. When project is completed it will reach capacity ranking it among largest AI clusters in the ...

Report notes that LatentView is suited for brands with complex modeling needs looking for a solution that doesn’t ...

An examination of the emerging antitrust risks associated with the rise of AI, including the state of US regulation and key antitrust enforcement concerns.