Results 91 to 100 of about 56,050 (312)

Schrems v Data Protection Commissioner (Case C-362/14): Empowering National Data Protection Authorities

Croatian Yearbook of European Law and Policy, 2015
On 6 October 2015, the Court of Justice of the European Union (CJEU) issued the final ruling in Schrems v Data Protection Commissioner (Case C-362/14). In its ruling the Court invalidated the Safe Harbour arrangement, which governs data transfers between
Marina Škrinjar Vidović
doaj   +1 more source

LLM-Vectorizer: LLM-Based Verified Loop Vectorizer

Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization
Vectorization is a powerful optimization technique that significantly boosts the performance of high performance computing applications operating on large data arrays. Despite decades of research on auto-vectorization, compilers frequently miss opportunities to vectorize code.
Jubi Taneja, Avery Laird, Cong Yan, Madan Musuvathi, Shuvendu K. Lahiri   +4 more
openaire   +2 more sources

Evaluation of LLM-based Tools for the Automated Repair of Security Vulnerabilities in Android Apps [PDF]

openThe ever-growing landscape of Android applications necessitates robust security mechanisms to mitigate potential vulnerabilities. This thesis presents a comprehensive evaluation of three Language Model (LLM)-based tools—ChatGPT, Google Bard, and ...
AHMED, SAAD
core  

The African Commission on Human and Peoples' Rights and the Regional Economic Communities: the need for co-operation [PDF]

, 2009
Dissertation submitted to the Faculty of Law University of Pretoria, in partial fulfilment of the requirements for the degree Masters of Law (LLM in Human Rights and Democratisation in Africa).

core  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

EU Data Protection Reform: Challenges for Cloud Computing

Croatian Yearbook of European Law and Policy, 2016
The EC adopted a strategy to unleash the potential of cloud computing, where it marked data protection legislation as one of the main barriers for the development and expansion of cloud computing in Europe. In light of the EC goal to ensure a stimulating
Marina Škrinjar Vidović
doaj   +1 more source

Densing law of LLMs

Nature Machine Intelligence
Abstract Large language models (LLMs) have emerged as a milestone in artificial intelligence. The scaling law indicates that the performance of LLMs can continually improve as the model size increases, which poses challenges for training and deployment.
Chaojun Xiao, Jie Cai, Weilin Zhao, Biyuan Lin, Guoyang Zeng, Jie Zhou, Zhi Zheng, Xu Han, Zhiyuan Liu, Maosong Sun   +9 more
openaire   +2 more sources

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source

Automatic generation of physics items with Large Language Models (LLMs)

REID (Research and Evaluation in Education)
High-quality items are essential for producing reliable and valid assessments, offering valuable insights for decision-making processes. As the demand for items with strong psychometric properties increases for both summative and formative assessments ...
Moses Oluoke Omopekunola, Elena Yu Kardanova   +1 more
doaj   +1 more source