Results 81 to 90 of about 205,987 (290)

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

COMPARING TRANSLATION QUALITY: GOOGLE TRANSLATE VS DEEPL FOR FOREIGN LANGUAGE TO ENGLISH

Edusaintek
Google Translate dan Deeple saat ini sudah sangat dikenal dan telah digunakan oleh mahasiswa di Indonesia. Penelitian ini meneliti bagaimana mahasiswa Jurusan Pendidikan Bahasa Inggris dan Jurusan Filsafat di Universitas Advent Indonesia mengevaluasi ...
Elsaty Lam Marya Bunga, Caroline V Katemba   +1 more
doaj   +1 more source

Improved Text Language Identification for the South African Languages

, 2017
Virtual assistants and text chatbots have recently been gaining popularity. Given the short message nature of text-based chat interactions, the language identification systems of these bots might only have 15 or 20 characters to make a prediction ...
Duvenhage, Bernardt, Ntini, Mfundo, Ramonyai, Phala   +2 more
core   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

A New Look at Translation: Teaching tools for language and literature [PDF]

, 2009
Does translation have a place in the modern language or literature classroom? This article argues that as long as translation is recognized as a distinct skill rather than a path to language acquisition it can and should play a role in language ...
Fountain, Anne, Fountain, Catherine
core   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

Advanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama K. Vasudevan, Alexis N. Williams   +10 more
wiley   +1 more source

A retrospective view on the promise on machine translation for Bahasa Melayu-English [PDF]

, 2010
Research and development activities for machine translation systems from English language to others are more progressive than vice versa. It has been more than 30 years since the machine translation was introduced and yet a Malay language or Bahasa ...
Jamaludin, Zulikha, Jusoh, Shaidah, Mohd Noor, Yusnita   +2 more
core  

Google Translate dan Penerjemahan: Penggunaan Google Translate pada Penerjemahan Teks Bahasa Arab

BLAZE : Jurnal Bahasa dan Sastra dalam Pendidikan Linguistik dan Pengembangan
This study aims to analyze the use of Google Translate in translating Arabic text into Indonesian. The aim is to examine translation accuracy, precision, and the relationship between translation and meaning. A descriptive qualitative method was used to explore the phenomenon in its specific context.
null Dillah Nur Syafanah, null Indah Permatasari, null Muhammad Rivyal   +2 more
openaire   +1 more source