Results 101 to 110 of about 83,934 (302)

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang   +9 more
wiley   +1 more source

Investigating the roles of medial prefrontal and superior temporal cortex in source monitoring [PDF]

open access: yes, 2018
Source monitoring, or the ability to recall the origin of information, is a crucial aspect of remembering past experience. One facet of this, reality monitoring, refers to the ability to distinguish between internally generated and externally generated ...
Ellison, Amanda   +3 more
core   +4 more sources

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

Naive realism and the scientific narration of perception [PDF]

open access: yes, 2018
Naive realism is a widely debated topic in the philosophy of the mind. In this article I will review the theses of naive realism through the works of one of the most influential philosophers who supported and developed them, Michael Martin.
Bucci, Andrea
core  

Innovative Artificial Intelligence‐Assisted Systems for Social Science Research: Architecture Design and Applied Practice

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley   +1 more source

A clinical profile of patients with Parkinson′s disease and psychosis

open access: yesAnnals of Indian Academy of Neurology, 2014
Aims: The aim of the study was to study the clinical profile of the patients with Parkinson′s disease (PD) and psychosis. Settings and Design: This was a prospective, cross sectional, hospital-based study done at the Department of Neurology, National ...
B. R. Amar   +3 more
doaj   +1 more source

Real-time hallucination simulation and sonification through user-led development of an iPad augmented reality performance [PDF]

open access: yes, 2015
The simulation of visual hallucinations has multiple applications. The authors present a new approach to hallucination simulation, initially developed for a performance, that proved to have uses for individuals suffering from certain types of ...
Eaton, J, Kirke, A, Miranda, E
core   +2 more sources

Artificial Intelligence and Access to Justice at the ‘Shop Front’: The Potential and Limitations of Meeting Legal Need Through Technology

open access: yesAustralian Journal of Social Issues, EarlyView.
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings   +2 more
wiley   +1 more source

Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism

open access: yesAnnals of Neurology, EarlyView.
Objective Pre‐mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co‐pathologies. This study aimed to develop a machine learning‐based algorithm predicting neuropathology in parkinsonism using chronological clinical presentations, which has previously been underexplored.
Daisuke Ono   +5 more
wiley   +1 more source

Hallucination as Mental Imagery [PDF]

open access: yes, 2016
Hallucination is a big deal in contemporary philosophy of perception. The main reason for this is that the way hallucination is treated marks an important stance in one of the most hotly contested debates in this subdiscipline: the debate between ...
Nanay, Bence
core  

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