Results 131 to 140 of about 8,992,782 (294)
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
"A Report to the Kansas Legislature by the Legislative Post Audit Committee, state of Kansas."; "January 16, 1980."Constitutes the annual report of the ...
Kansas. Legislative Post Audit Committee.
core +1 more source
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
Quality Management Of Audit Process In External Audit
This work clears up the question of how to achieve high quality of audit process through describing basic conceptions, principles and preliminary conditions on which we should base the efficient access for ensuring high quality work and audit reports through use of international experience for description the example of “good practice” that should be ...
Lidija Pernar +2 more
openaire +1 more source
"A Report to the Kansas Legislature by the Legislative Post Audit Committee, state of Kansas."; "December 22, 1978."Constitutes the annual report of the ...
Kansas. Legislative Post Audit Committee.
core +1 more source
Kansas Soldiers Home [1985 performance audit]
"A Report to the Legislative Post Audit Committee"--Cover.; "April 1985 ...
Racine, Trudy.
core
Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context
Agribusiness, EarlyView.
Alexis H. Villacis
wiley +1 more source
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
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Sustainable quality improvement interventions to ensure adequate documentation of chaperone presence in breast clinic: A multi-cycle clinical audit. [PDF]
Hehir CM +10 more
europepmc +1 more source

