Results 1 to 10 of about 19,807 (274)

Taxonomic Structure and Wing Pattern Evolution in the Parnassius mnemosyne Species Complex (Lepidoptera, Papilionidae) [PDF]

open access: goldInsects, 2023
In our study, using the analysis of DNA barcodes and morphology (wing color, male genitalia, and female sphragis shape), we show that the group of species close to P. mnemosyne comprises the western and eastern phylogenetic lineages.
Vladimir A. Lukhtanov   +1 more
doaj   +5 more sources

Mnemosyne: Learning to Train Transformers with Transformers [PDF]

open access: yesarXiv, 2023
In this work, we propose a new class of learnable optimizers, called \textit{Mnemosyne}. It is based on the novel spatio-temporal low-rank implicit attention Transformers that can learn to train entire neural network architectures, including other Transformers, without any task-specific optimizer tuning.
Deepali Jain   +6 more
arxiv   +5 more sources

The Mnemosyne Number and the Rheology of Remembrance [PDF]

open access: yesJournal of Rheology, 2022
The concept of a Deborah number is widely used in study of viscoelastic materials and to represent the ratio of a material relaxation time to the timescale of observation, and to demarcate transitions between predominantly viscous or elastic material responses.
S. Jamali, G. McKinley
arxiv   +5 more sources

Before Mnemosyne: Wilhelmine Cultural History Exhibitions and the Genesis of Warburg's Picture Atlas. [PDF]

open access: yesBer Wiss
Aby Warburg's Bilderatlas Mnemosyne, left unfinished in 1929, has attracted significant interest in recent decades. This essay offers a new interpretation of Warburg's “picture atlas,” not in relation to modernist collage and photomontage, but as an heir
Vollgraff M.
europepmc   +3 more sources

A Chromosome-Level Genome Assembly and Annotation for the Clouded Apollo Butterfly (Parnassius mnemosyne): A Species of Global Conservation Concern. [PDF]

open access: goldGenome Biol Evol
The clouded apollo (Parnassius mnemosyne) is a palearctic butterfly distributed over a large part of western Eurasia, but population declines and fragmentation have been observed in many parts of the range.
Höglund J   +6 more
europepmc   +3 more sources

Data Mnemosyne

open access: yesSOBRE. Prácticas artísticas y políticas de la edición
La obra Data Mnemosyne surge del análisis semiótico de nuestro album familiar utilizando técnicas de inteligencia artificial para el análisis de imágenes basadas en modelos de aprendizaje automático pre-entrenados.
Clara Boj, Diego Díaz
doaj   +3 more sources

The decline of the charismatic Parnassius mnemosyne (L.) (Lepidoptera: Papilionidae) in a Central Italy national park: a call for urgent actions [PDF]

open access: bronze, 2020
Here we report the strong decline of a population of the endangered species Parnassius mnemosyne (Linnaeus, 1758) (Lepidoptera: Papilionidae) in the National Park of Foreste Casentinesi, Monte Falterona and Campigna (Italy).
A. Cini   +7 more
semanticscholar   +11 more sources

Debates with mnemosyne: A review of important issues in memory studies [PDF]

open access: goldKultura, 2023
This paper presents an overview of the most important European approaches to the study of collective memory. It will first discuss the theses of the founder of the discipline, the French sociologist Maurice Albvachs.
Vukašin Zorić
semanticscholar   +2 more sources

O grotesco na Prancha 32 do Atlas Mnemosyne

open access: yesPalíndromo, 2023
A categoria do grotesco é abordada através da análise da prancha 32 do Atlas Mnemosyne de Aby Warburg. Nela encontram-se imagens relativas principalmente ao Renascimento, abordando temas que atravessam os tempos desde a Antiguidade, como a dança da ...
Sandra Makowiecky   +1 more
doaj   +2 more sources

Mnemosyne: Parallelization Strategies for Efficiently Serving Multi-Million Context Length LLM Inference Requests Without Approximations [PDF]

open access: yesarXiv
As large language models (LLMs) evolve to handle increasingly longer contexts, serving inference requests for context lengths in the range of millions of tokens presents unique challenges. While existing techniques are effective for training, they fail to address the unique challenges of inference, such as varying prefill and decode phases and their ...
Amey Agrawal   +6 more
arxiv   +2 more sources

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