Results 41 to 50 of about 81,815 (304)

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source

AI-Powered Curricula: Unpacking the Potential and Progress of Generative Technologies in Education

Ubiquity Proceedings
The aim of this narrative review is to understand how Artificial Intelligence (AI), specifically generative AI (e.g. ChatGPT) is thought to be used to support teachers in content authoring and curriculum production.
Duygu Bektik, Thomas Daniel Ullmann, Chris Edwards, Christothea Herodotou, Denise Whitelock   +4 more
doaj   +1 more source

LLM-PQA: LLM-enhanced Prediction Query Answering

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
The advent of Large Language Models (LLMs) provides an opportunity to change the way queries are processed, moving beyond the constraints of conventional SQL-based database systems. However, using an LLM to answer a prediction query is still challenging, since an external ML model has to be employed and inference has to be performed in order to provide
Ziyu Li, Wenjie Zhao, Asterios Katsifodimos, Rihan Hai   +3 more
openaire   +2 more sources

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

O Chat GPT como Iceberg Digital – considerações educacionais

O Que Nos Faz Pensar
Teaching and research institutions received the popularization of LLMs (Large Language Models) at the end of 2022 with a mix of alarm and excitement. This article advances an interpretation and a possible reaction to the phenomenon.
Edgar Lyra
doaj   +1 more source

CS1-LLM: Integrating LLMs into CS1 Instruction

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1
The recent, widespread availability of Large Language Models (LLMs) like ChatGPT and GitHub Copilot may impact introductory programming courses (CS1) both in terms of what should be taught and how to teach it. Indeed, recent research has shown that LLMs are capable of solving the majority of the assignments and exams we previously used in CS1.
Annapurna Vadaparty, Daniel Zingaro, David H. Smith IV, Mounika Padala, Christine Alvarado, Jamie Gorson Benario, Leo Porter   +6 more
openaire   +2 more sources

2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems

Advanced Materials, EarlyView.
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley   +1 more source

Self-Reflection Protects Behavior from Volatile Beliefs Linked to Paranoia

Computational Psychiatry
Processing uncertainty may be pathognomonic (characteristic of a disease) for some psychiatric conditions. Some people expect the world to change, even when it doesn’t.
Praveen Suthaharan, Santiago Castiello, Yuen-Siang Ang, Phil Corlett   +3 more
doaj   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Are We There Yet? Notes Towards Benchmarking an Experimental AI-Assisted Workflow for Humanities Data Cleaning and Reconciliation

Journal of Open Humanities Data
This paper introduces a novel AI-assisted pipeline developed to prepare data for the European Research Council-funded project “STEMMA: Systems of Transmitting Early Modern Manuscript Verse, 1475–1700.” Now approaching its midpoint, STEMMA develops and ...
Erin A. McCarthy
doaj   +1 more source