10 principais aka.fi concorrentes

fcai.fi

Ville Halkola, Program Quality Manager at Suunto: “When I started working at Suunto , I wanted to enhance my competence in artificial intelligence. I was interested in the Diploma in Artificial Intelligence program , but just understanding the AI field was not enough for me, I also wanted to lea

research.fi

Privacy statement for the Finnish Research Information Hub. How we process your personal data, from which sources we receive it and the purposes for which it is used.

vaikuttavuussaatio.fi

Valtio perusti Tutkimuksen vaikuttavuuden tukisäätiön (Vaikuttavuussäätiö) vuonna 2019 tavoitteena vahvistaa tutkimuksen public-private-yhteyksiä ja lisätä elinkeinoelmän ja tutkimuksen välistä yhteistyötä.

helsinki.fi

the university of helsinki is the oldest and largest institution of academic education and research in finland. it is a scientific community of 40,000 students and researchers

metsa.fi

Petolintutilanne-palvelussa esitetään ajantasaiset tiedot Metsähallituksen erityisvastuupetolintujen kanta-arviosta ja pesimätuloksesta. Näitä vastuulajeja ovat maakotka, merikotka poronhoitoalueella…

envir.ee

Kliimaministeerium kutsub üles esitama ettepanekuid, et vähendada bürokraatiat ning ettevõtete ja kodanike halduskoormust riigiga asjaajamisel.

sciencedirect.com

sciencedirect is the world's leading source for scientific, technical, and medical research. explore journals, books and articles.

scholar.google.com

google scholar provides a simple way to broadly search for scholarly literature. search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.

arxiv.org

A system of non-tradable credits that flow between individuals like karma, hence proposed under that name, is a mechanism for repeated resource allocation that comes with attractive efficiency and fairness properties, in theory. In this study, we test karma in an online experiment in which human subjects repeatedly compete for a resource with time-varying and stochastic individual preferences or urgency to acquire the resource. We confirm that karma has significant and sustained welfare benefits even in a population with no prior training. We identify mechanism usage in contexts with sporadic high urgency, more so than with frequent moderate urgency, and implemented as a simple (binary) karma bidding scheme as particularly effective for welfare improvements: relatively larger aggregate efficiency gains are realized that are (almost) Pareto superior. These findings provide guidance for further testing and for future implementation plans of such mechanisms in the real world.