Results 201 to 210 of about 1,483,025 (269)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
What drives consumer participation in virtual CSR? The impact of external scenarios. [PDF]
Yang F, Song Y, Hu J, Zhang H.
europepmc +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
A methodological comparative analysis of monetary policy and trade openness on economic growth in West Africa: Does language play a role? [PDF]
Boateng SA, Enimil B, Takyi-Danquah E.
europepmc +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Informal institutions and corporate carbon emissions: Evidence from China's listed companies. [PDF]
Hou S.
europepmc +1 more source
The Rise of Health Economics: Transforming the Landscape of Economic Research. [PDF]
Gschwent L +3 more
europepmc +1 more source
Compulsory health insurance in the Central and Eastern European countries: the similarity and the difference with Social Health Insurance. [PDF]
Shishkin S.
europepmc +1 more source

