Results 61 to 70 of about 363,084 (286)

Anxiety and Fear as Moods of Everydayness in Heidegger’s Being and Time

open access: yesProblemos, 2022
The paper considers the phenomenological analyses of anxiety (Angst) and fear (Furcht) found in Heidegger’s Being and Time. In his work Heidegger considers these moods as the conditions of possibility of everydayness.
Justinas Grigas
doaj   +1 more source

Goldilocks Forgetting in Cross-Situational Learning [PDF]

open access: yes, 2018
Given that there is referential uncertainty (noise) when learning words, to what extent can forgetting filter some of that noise out, and be an aid to learning?
Akhtar   +85 more
core   +3 more sources

Forgetting To Forget

open access: yesinterconnections: journal of posthumanism
In this article we exemplify Braidotti’s critical theory by drawing out her conceptual figuration, ‘forgetting to forget’, a formulation with no fixed or certain meaning that appears differently at different points in her work. A changeable component functioning enigmatically within Braidotti’s complex oeuvre, the phrase may appear obscure.
Yaara Rosolio, Miri Rozmarin
openaire   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

"Oblivion is a kind of blessing": Memory Journeys in Lisa Appignanesi's The Memory Man

open access: yesCaliban: French Journal of English Studies, 2018
Cet article s'intéresse aux stratégies déployées par l'écrivaine britannique Lisa Appignanesi dans son roman The Memory Man (2004) pour analyser les mécanismes littéraires qui rendent possible la représentation des processus complexes de mémoire et d ...
Silvia Pellicer-Ortín
doaj   +1 more source

Tunable 3D‐Printed Static Mixers for Gradient Bioprinting With High Cell Viability

open access: yesAdvanced Materials Technologies, EarlyView.
ABSTRACT The fabrication of native tissue‐like structures with gradual transitions in material properties, cell types, and growth factors remains a major challenge in biofabrication due to the lack of suitable methods. Mimicking the hierarchical organization of living tissues is essential for functional models, yet creating gradient, multimaterial ...
Florian Hofmann   +9 more
wiley   +1 more source

Recursive estimation o dynamic models using cook's distance,with application to wind energy orecast [PDF]

open access: yes, 2002
This article proposes an adaptive forgetting factor for the recursive estimation of time varying models.The proposed procedure is based on the Cook's distance of the new observation.It is proven that the proposed procedure encompasses the adaptive ...
Sánchez, Ismael
core   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

The development of new technique for achieving the intentional suppression effect on memory

open access: yesJournal of Human Environmental Studies, 2007
Recently, Anderson & Green (2001) showed that people could forget the specific memory, using the Think/No-Think paradigm. However, precise procedure of the Think/No-Think paradigm did not clearly reported in Anderson & Green's (2001) paper ...
Chie Hotta, Shouhei Takei, Jun Kawaguchi
doaj   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

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