Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

When legislative, judicial and regulatory functions converge in technical infrastructure controlled by few actors, the system enhances those actors' power.

Microdramas, predictive modeling and generative AI are moving audience data upstream — reshaping how stories are imagined, financed and greenlit across Hollywood ...

John Deere has made numerous updates to its model year 2027 X9 and S7 combines and front-end equipment. The goal with these changes is to expand automation, threshing, grain handling, and operator ...

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...

This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Summary: Workplace attrition threatens operational continuity and clinical trial timelines for life science professionals. The recent shift to remote and decentralized trials presents unique ...

The divergence between the DSPs reveals shifting buy-side priorities. Advertisers are wary of how TTD earns margin and how its algorithm steers demand.

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...