Results 111 to 120 of about 1,205,220 (192)

PECULIARITIES OF APPLYING LINGUISTIC MODELING IN THE PROCESS OF UKRAINIAN LANGUAGE TEACHING TO FOREIGN STUDENTS OF ENGINEERING AND ENGINEERING-PEDAGOGICAL SPECIALTIES

Проблеми інженерно-педагогічної освіти
DOI: https://doi.org/10.26565/2074-8922-2024-83-16 Purpose. The current situation in education after Russia's large-scale invasion of Ukraine requires reformatting the leading forms of educational work in general and conducting classes in Ukrainian as
N. V. ROTOVA
doaj  

Language Models [PDF]

, 2009
openaire   +3 more sources

TriNet-MTL: A Multi-Branch Deep Learning Framework for Biometric Identification and Cognitive State Inference from Auditory-Evoked EEG. [PDF]

eNeuro
Fatima N, Nabi G.
europepmc   +1 more source

Aligning statistical models with inference goals in the neuroscience of language: A dual-dependency taxonomy. [PDF]

Imaging Neurosci (Camb)
Bouton S, Chambon V, Golestani N, Formisano E, Proix T, Giraud AL.   +5 more
europepmc   +1 more source

Investment modeling for scalable agricultural learning. [PDF]

PLoS One
Reeves NP, Pietrelli R, Brooks I, Rosas Celi VGSY, Narendra K, Ngabitsinze JC, Torero Cullen M, Lutomia AN, Medendorp JW, Bello-Bravo JM, Pittendrigh BR.   +10 more
europepmc   +1 more source

Molecular-level protein semantic learning via structure-aware coarse-grained language modeling. [PDF]

Bioinformatics
Zhang J, Weng X, Zhu T, Liu Y, Zhu Z.
europepmc   +1 more source

Protein structure prediction powered by artificial intelligence: from biochemical foundations to practical applications. [PDF]

Front Mol Biosci
Yin T, Chen Y, Wang Y, Su H, Duan C, Liu J.   +5 more
europepmc   +1 more source

Trainable subnetworks reveal insights into structure knowledge organization in protein language models. [PDF]

PLoS Comput Biol
Vinod R, Amini AP, Crawford L, Yang KK.
europepmc   +1 more source