Results 101 to 110 of about 109,600 (254)

The Performance and Reliability of Generative AI Models in Software Development: A C# Based Analysis

open access: yesMANAS: Journal of Engineering
The effectiveness of generative artificial intelligence models in software development is determined not only by their ability to generate correct solutions but also by their adherence to quality metrics and their resilience to exceptional scenarios.
Abdulkadir Şeker, Halil Kaynarpınar
doaj   +1 more source

Labour rights and free trade zones in Mozambique and Namibia : a cripping cocktail? [PDF]

open access: yes, 2007
Thesis (LLM (Human Rights and Democratisation in Africa)) -- University of Pretoria, 2007.A 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 ...

core  

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

open access: yesAdvanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang   +4 more
wiley   +1 more source

Aurel_AI: Automating an Institutional Help Desk Using an LLM Chatbot [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics
The Aurel_AI research project was born from the need to implement a virtual help desk for a university, providing accurate organizational information to both internal and external clients.
Diego Ordóñez-Camacho   +3 more
doaj  

Rich Data Versus Quantity of Data in Code Generation AI: A Paradigm Shift for Healthcare

open access: yesBlockchain in Healthcare Today
In the context of Code Generation AI (Code Gen AI), “rich” and “quality” data refer to datasets that are not only syntactically and structurally sound but also context-aware, domain-specific, and semantically aligned with the target application.
Muthu Ramachandran, Steven Fouracre
doaj   +1 more source

Where are the mothers? Interrogating maternal mortality as a violation of the rights to life and health : a Nigerian and Ethiopian perspective [PDF]

open access: yes, 2009
A 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). Prepared under the supervision of Dr.

core  

Neuromorphic Devices and Computing for Sensing, Memory, and Control

open access: yesAdvanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu   +2 more
wiley   +1 more source

APPLICATION OF LLM IN UAV ROUTE PLANNING TASKS TO PREVENT DATA EXCHANGE AVAILABILITY VIOLATIONS

open access: yesКібербезпека: освіта, наука, техніка
This paper presents a novel approach to unmanned aerial vehicle (UAV) route planning under conditions of cyber-physical threats that affect system availability.
Олексій Новіков   +4 more
doaj   +1 more source

LLM Augmentation

open access: yes
In this study, we test the effects of ‘LLM augmentation’ on human forecasting ability. By LLM augmentation, we mean provision of LLM interfaces to assist forecasting. We focus on two LLM treatments specifically.
Peter S. Park, Philipp Schönegger
core   +1 more source

Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions

open access: yesAdvanced Science, EarlyView.
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan   +8 more
wiley   +1 more source

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