The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
Metabolic syndrome affects nearly 40% of adults, with sharper increases seen in older age groups and non-Hispanic Black ...
A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...
The research highlights that AI adoption does not occur in a vacuum. Students do not evaluate technology purely on technical ...
3don MSN
An ecosystem never forgets: Extreme heat and drought responses linked to hydrological memory
The low-latitude highlands region of southwestern China experienced two major climate events in recent years: a severe ...
MarTech on MSN
The future of GTM starts with causal clarity
Linear GTM models can’t explain stalled buyer decisioning or collapsing performance. A causal GTM logic layer is emerging to restore clarity and control. The post The future of GTM starts with causal ...
This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.
Physicists and mathematicians at the University of Konstanz, ETH Zürich (Switzerland) and CNR INO in Trento (Italy) use concepts from topography to topologically classify and investigate ...
When embedded within a case management framework, Agentic AI can detect subtle anomalies, highlight inconsistencies, and surface patterns traditional systems miss.
A precise synthesis tunes platinum skin thickness on PtCu nanospheres and shows two atomic layers give the best oxygen ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results