Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Administration of the Australian Apprenticeships Incentives Program [PDF]
This audit assessed the effectiveness of the (former) Department of Industry’s administration of the Australian Apprenticeships Incentives Program. Audit objectives, criteria and scope The audit objective was to assess the effectiveness of Industry’s ...
Australian National Audit Office
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Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
The Impact of Audit Risk, Materiality and Severity of Ethical Decision Making: An Analysis of the Perceptions of Tax Agents in Australia [PDF]
This paper focuses on the role of the tax agent as a preparer of tax returns and provider of professional tax advice under a system based on self-assessment principles. In particular it recognises the competing pressures under which tax agents attempt to
Malcolm Smith +2 more
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Review into the treatment of women at the Australian Defence Force Academy: audit report [PDF]
The Report of the Review into the Treatment of Women at ADFA (November 2011) (ADFA Report) made 31 wide ranging recommendations to effect significant cultural change.The ADF accepted all the recommendations made – 30 in full and one in principle.The ...
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LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
INTERNAL AUDIT AND RISK MANAGEMENT IN PUBLIC SECTOR ENTITIES, BETWEEN TRADITION AND ACTUALITY [PDF]
The deep transformations which have marked the public sector, generated by theEuropean Union extension, the decentralization process, the increase of complex activities, theascendant trend of current agreements and the descendant trend of future ...
Eugeniu Turlea, Aurelia Stefanescu
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Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context
Agribusiness, EarlyView.
Alexis H. Villacis
wiley +1 more source
Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation
Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti +3 more
wiley +1 more source
USING DEPENDENCY STRUCTURE MATRIX IN OPTIMAZING FINANCIAL AUDIT PROCESS [PDF]
This paper presents a new approach in evaluating risks of material misstatements in financial audit using dependency structure matrices (DSM). This perspective allows the identification of significant audit risks and can be used by audit managers to ...
Popa Adriana Florina +3 more
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