Results 81 to 90 of about 16,605,417 (300)

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Large Language Models are Catalyzing Chemistry Education [PDF]

Large language models (LLMs) have demonstrated outstanding capabilities in general problem-solving and been shown to improve productivity in certain domains. Thanks to their flexibility, recent work has leveraged them for diverse scientific applications,
Chenru, Duan, Yi, Qu, Yuanqi, Du, Heather, Kulik, Antoine, Bosselut, Andres, Bran, Anna, Sotnikova, Jinjia, Xu, Philippe, Schwaller, Xu, Jinjia, Du, Yuanqi, Bosselut, Antoine, Duan, Chenru, Bran, Andres M., Qu, Yi, Kulik, Heather J., Sotnikova, Anna, Schwaller, Philippe   +17 more
core   +2 more sources

Modelling language using large language models

Philosophical Studies
Abstract This paper argues that large language models have a valuable scientific role to play in serving as scientific models of public languages. Linguistic study should not only be concerned with the cognitive processes behind linguistic competence, but also with language understood as an external, social entity.
openaire   +2 more sources

Large language models (ChatGPT) in medical education: Embrace or abjure?

The Asia Pacific Scholar, 2023
Nathasha Luke, Reshma Taneja, Kenneth Ban, Dujeepa Samarasekera, Celestial T Yap   +4 more
doaj   +1 more source

Hyperosmotic stress‐induced redistribution of pre‐mRNA cleavage factor I subunits is associated with shifts in alternative polyadenylation

FEBS Open Bio, EarlyView.
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya, Masatake Osawa, Hidefumi Fukumitsu   +2 more
wiley   +1 more source

Quantitative linguistics in the large language models era: the study of semanticity in Catalan

, 2023
In the era of Large Language Models (like ChatGPT or Google BARD), the field of computational linguistics faces a pressing challenge: bridging the gap between theoretical linguistic models and the transformative capabilities of network models ...
Hernández Fernández, Antonio, Català, Neus, Casas, Bernardino   +2 more
core  

LARGE LANGUAGE MODELS FOR CIPHERS

International Journal of Artificial Intelligence & Applications, 2023
This study investigates whether transformer models like ChatGPT (GPT4, MAR2023) can generalize beyond their training data by examining their performance on the novel Cipher Dataset, which scrambles token order. The dataset consists of 654 test cases, and the analysis focuses on 51 text examples and 13 algorithmic choices.
openaire   +2 more sources

Evaluating Foundation Models on Timbre-Related Cognitive Tasks [PDF]

Foundation models are increasingly applied to MIR tasks, yet their performance on music cognition problems remains underexplored. In this work, we investigate how state-of-the-art audio-language models and large language models (LLMs) perform on timbre ...
Saitis, C, Velissaridis, G, Fazekas, G, Athwal, R, Musharaf, M   +4 more
core   +1 more source

Teaching Astronomy with Large Language Models

The Open Journal of Astrophysics
We present a study of LLM integration in final-year undergraduate astronomy education, examining how students develop AI literacy through structured guidance and documentation requirements.
Yuan-Sen Ting, Teaghan O'Briain
doaj   +1 more source

Personality Emulation Utilizing Large Language Models

Applied Sciences
Fake identities have proven to be an effective methodology for conducting privacy and cybersecurity research; however, existing models are limited in their ability to interact with and respond to received communications.
Jack Kolenbrander, Alan J. Michaels
doaj   +1 more source