Results 31 to 40 of about 31,354 (250)

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Application of large language models to natural language processing and image analysis tasks in dermatology: A systematic review

Intelligent Medicine
Computer vision (CV) and natural language processing (NLP) are 2 crucial subsets of artificial intelligence (AI). Large language models (LLMs) represent a significant application of deep learning in NLP. LLMs are AI systems with transformer architectures
Lian Duan, Ting Li, Bowei Li, Xiaozhen Li, Dafu Fu, Xingyue Yang, Kaiyuan Cao, Hong Cai   +7 more
doaj   +1 more source

A survey on natural language processing (nlp) and applications in insurance

CoRR, 2020
Preprint
Antoine Ly, Benno Uthayasooriyar, Tingting Wang   +2 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

Adapting natural language processing for technical text

Applied AI Letters, 2021
Despite recent dramatic successes, natural language processing (NLP) is not ready to address a variety of real‐world problems. Its reliance on large standard corpora, a training and evaluation paradigm that favors the learning of shallow heuristics, and ...
Alden Dima, Sarah Lukens, Melinda Hodkiewicz, Thurston Sexton, Michael P. Brundage   +4 more
doaj   +1 more source

AI-Natural Language Processing (NLP)

International Journal for Research in Applied Science and Engineering Technology, 2021
Natural Language Processing (NLP) could be a branch of Artificial Intelligence (AI) that allows machines to know the human language. Its goal is to form systems that can make sense of text and automatically perform tasks like translation, spell check, or topic classification.
openaire   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Implicit Perception of Differences between NLP‐Produced and Human‐Produced Language in the Mentalizing Network

Advanced Science, 2023
Natural language processing (NLP) is central to the communication with machines and among ourselves, and NLP research field has long sought to produce human‐quality language.
Zhengde Wei, Ying Chen, Qian Zhao, Pengyu Zhang, Longxi Zhou, Jiecheng Ren, Yi Piao, Bensheng Qiu, Xing Xie, Suiping Wang, Jia Liu, Daren Zhang, Roi Cohen Kadosh, Xiaochu Zhang   +13 more
doaj   +1 more source

Analisis Keamanan Sistem Informasi ChatGPT Menggunakan Algoritma Natural Language Processing (NLP)

Jurnal Teknologi Informatika & Komputer, 2023
ChatGPT adalah model pembuatan bahasa alami yang dapat meningkatkan kognisi manusia dan menghasilkan teks berkualitas tinggi. Namun, keamanan sistem informasi di ChatGPT menjadi perhatian utama mengingat potensi penyalahgunaan oleh mereka yang belum ...
Donny Maulana, Eko Budiarto
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source