Results 101 to 110 of about 1,592,480 (336)
Public Accountability of Advisory Committees [PDF]
The final paper from the symposium on public participation in Risk management discusses existing procedures for ensuring the integrity of advisory committee recommendations.
Shapiro, Sidney A.
core +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Killing the Goose that Lays the Golden Egg: a Time-Series Analysis of Institutional Change and Economic Growth in Hong Kong [PDF]
This paper examines how the rule of law and democratic accountability have affected Hong Kong’s GDP growth rate in the past 20 years. We find that democratic accountability has deteriorated substantially since the changeover of sovereignty in 1997, while
Nicolaas Groenewold, Sam Hak Kan Tang
core +1 more source
Privacy and Accountability in Black-Box Medicine [PDF]
Black-box medicine—the use of big data and sophisticated machine learning techniques for health-care applications—could be the future of personalized medicine.
Ford, Roger Allan +1 more
core +3 more sources
Large Language Model‐Based Chatbots in Higher Education
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
Factors Accountable for Unabated Obstruction Following Pyeloplasty
Uday Sankar Chatterjee +3 more
openalex +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Disruptive accountability? Temporal regimes and social change in decolonization struggles in Belgium [PDF]
Tine Destrooper
openalex +1 more source

