Results 111 to 120 of about 1,132,463 (302)

On the Epistemology of the Precautionary Principle [PDF]

, 2014
In this paper we present two distinctly epistemological puzzles that arise forone who aspires to defend the precautionary principle. The first puzzle involves anapplication of contextualism in epistemology; and the second puzzle concerns the task of ...
Carter, J.A., Carter, JA Adam, Carter, J. Adam, Peterson, MB Martin, Peterson, Martin, Peterson, M.B.   +5 more
core   +2 more sources

Large Language Model‐Based Chatbots in Higher Education

Advanced 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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Problematics of Realization of Adversarial Principle and the Principle of Equality of Arms at the Stage of the Investigation

Law and World
Criminal Procedure Code of Georgia tries to share the Anglo-Saxon law system model, which is based on “pure” equality of arms and adversarial principle; this can be said according to the requirements of the 9th article of the Criminal Procedure Code of Georgia regarding that at the beginning of criminal prosecution, the criminal process is being ...
openaire   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

THE ADVERSITY PRINCIPLE IN CRIMINAL PROCEDURE

Pravo, 2012
In criminal procedure, the cornerstone of the proceeding governing the establishment of crucial facts is the opportunity of the parties to present their arguments on the criminal matter at issue and to challenge the opponent’s arguments, which is the ...
Saša Knežević
doaj  

Adversarial process: urgent problems of modern Russian criminal proceedings

Правоприменение, 2019
The subject of the article is realization of adversarial process principle in Russian criminal proceedings.The purpose of the article is to disclose the list of systemic flaws in modern criminal justice. The hypothesis of the study is the thesis that the
Vyacheslav V. Koryakovtsev, Xenia V. Pitulko   +1 more
doaj   +1 more source

You only propagate once: accelerating adversarial training via maximal principle

, 2019
Deep learning achieves state-of-the-art results in many tasks in computer vision and natural language processing. However, recent works have shown that deep networks can be vulnerable to adversarial perturbations, which raised a serious robustness issue ...
Dong, Bin, Lu, Yiping, Zhang, Dinghuai, Zhu, Zhanxing, Zhang, Tianyuan   +4 more
core   +1 more source

A NEAT Approach to Evolving Neural‐Network‐Based Optimization of Chiral Photonic Metasurfaces: Application of a NeuroEvolution‐of‐Augmenting‐Topologies Pipeline

Advanced Intelligent Systems, EarlyView.
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley   +1 more source

google-research-datasets/adversarial-nibbler: Adversarial Nibbler. Round 1 Data

<p>All attempted and submitted data from Adversarial Nibbler challenge Round 1.</p ...
Jess Tsang
core   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source