Results 71 to 80 of about 2,662 (289)
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
The simultaneous relation between audit report type and business termination : evidence for non-listed companies in a non-litigious audit environment. [PDF]
This study provides evidence on the relationship between audit report type and subsequent business termination in an environment where firms are closely held and the audit environment is non-litigious.
Gaeremynck, Ann, Willekens, Marleen
core
Estudio de la Incidencia de Ciertos Factores en el Informe de Auditoria
Given the relevance of the statutory audit, this paper examines the auditor's report of a sample of companies during several periods. The objective is to confirm the influence of certain factors on the auditor's opinion, and analyze the relation between ...
Covadonga Caso Pardo +3 more
doaj
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
Council members praise auditor's telling report
City Council finds auditor's report very helpful as recession ...
Palo Alto Daily News
core
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
The informational relevance of key audit matters
This paper aims to investigate whether the key audit matters (KAMs) contained in the annual standardized financial statements (SFSs) of Brazilian listed companies have contributed with informational relevance for investors.
Edilson Divino Alves Júnior +1 more
doaj +2 more sources
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
The Office of State Auditor audited the financial statements of Coastal Carolina University using agreed upon procedures. The following topics were included in the audit: Independent auditor's report, basic financial statements, balance sheet, statement ...
Coastal Carolina University +2 more
core
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source

