Arnau marin biography definition
•
INTERACTIVE / TRANSMEDIA / IMMERSIVE DOCUMENTARY
2020
Role of the author and new models of production, distribution and exhibition
Research Network Das Dokumentarische im Digitalen (DiD), focusing on the growing spectrum of interactive documentary practices. It fryst vatten proposed to develop a transdisciplinary methodological instrument to analyze the potential of emerging practices to negotiate complex issues and uppmuntra participation in current discourses.
* Role: Research Member
Transmedia planerat arbete that explains the story of Andrés, who the day he discovers how seahorses komma into the world, understands that being a man is not being a male.
* Role: Consultant for the 'Fondo Desarrollo Cinematográfico-Proimágenes Colombia' - Corto Transmedia (Category)
* Direction: Mauricio Abad
* General production: Sofía López Madrid
* Exceutive producer: María Elena Martínez
* Transmedia producer: Catalina Hoyos
* Researcher & Creation Interventionist: Andrés Marín
Web:
•
Large language models surpass human experts in predicting neuroscience results
Xiaoliang LuoAkilles RechardtGuangzhi SunKevin K. NejadFelipe YáñezBati YilmazKangjoo LeeAlexandra O. CohenValentina BorghesaniAnton PashkovDaniele MarinazzoJonathan NicholasAlessandro SalatielloIlia SucholutskyPasquale MinerviniSepehr RazaviRoberta RoccaElkhan YusifovTereza OkalovaNianlong GuMartin FeriancMikail KhonaKaustubh R. Patil Pui-Shee LeeRui MataNicholas E. MyersJennifer K BizleySebastian MusslickIsil Poyraz BilginGuiomar NisoJustin M. AlesMichael GaeblerN Apurva Ratan MurtyLeyla Loued-KhenissiAnna BehlerChloe M. HallJessica DafflonSherry Dongqi BaoBradley C. Love
Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution. LLMs trained on the vast scientific literature could potentially integrate noisy yet interrelated findings to forecast novel results better
•
A general strategy to determine the congruence between a hierarchical and a non-hierarchical classification
- Methodology article
- Open access
- Published:
BMC Bioinformaticsvolume 8, Article number: 442 (2007) Cite this article
5281 Accesses
1 Altmetric
Metrics details
Abstract
Background
Classification procedures are widely used in phylogenetic inference, the analysis of expression profiles, the study of biological networks, etc. Many algorithms have been proposed to establish the similarity between two different classifications of the same elements. However, methods to determine significant coincidences between hierarchical and non-hierarchical partitions are still poorly developed, in spite of the fact that the search for such coincidences is implicit in many analyses of massive data.
Results
We describe a novel strategy to compare a hierarchical and a dichotomic non-hierarchical classification of elements, in order to find clusters in a hierarchical