Results 51 to 60 of about 498,835 (163)

Learning the language of protein-protein interactions

Nature Communications
Protein Language Models (PLMs) trained on large databases of protein sequences have proven effective in modeling protein biology across a wide range of applications.
Varun Ullanat, Bowen Jing, Samuel Sledzieski, Bonnie Berger   +3 more
doaj   +1 more source

Biomolecular Interaction Prediction: The Era of AI

Advanced Science
Predicting biomolecular interactions is a crucial task in drug discovery and molecular biology. Deep learning, with its ability to learn complex patterns from large datasets, has shown promising results in predicting biomolecular interactions.
Haoping Wang, Xiangjie Meng, Yang Zhang
doaj   +1 more source

Learning Interactions in Reaction Diffusion Equations by Neural Networks. [PDF]

Entropy (Basel), 2023
Chen S, Brunel NJ, Yang X, Cui X.
europepmc   +1 more source

Learning to interact, interacting to learn action-centric reinforcement learning

, 2021
Dans cette thèse de doctorat, nous étudions l'apprentissage séquentiel (dit ``par renforcement'') en intelligence artificielle, plus particulièrement les notions d'actions et d'interactivité. En apprentissage par renforcement, un agent reçoit des informations sur son environnement et agit en conséquence.
openaire   +1 more source

Perspectives on Rehabilitation Using Non-invasive Brain Stimulation Based on Second-Person Neuroscience of Teaching-Learning Interactions. [PDF]

Front Psychol, 2021
Takeuchi N.
europepmc   +1 more source

Interactions between social learning and technological learning in electric vehicle futures

Environmental Research Letters, 2018
The transition to electric vehicles is an important strategy for reducing greenhouse gas emissions from passenger cars. Modelling future pathways helps identify critical drivers and uncertainties. Global integrated assessment models (IAMs) have been used
O Y Edelenbosch, David L McCollum, Hazel Pettifor, Charlie Wilson, Detlef P van Vuuren   +4 more
doaj   +1 more source

Deep Learning based Models for Drug-Target Interactions

مجلة بغداد للعلوم
The typical drug development approach is slow, costly, and fraught with failure - scientists examine millions of compounds, but only a few make it to preclinical or clinical testing.
Ali K. Abdul Raheem, Ban N. Dhannoon
doaj   +1 more source

Person-to-person interactions in hybrid teaching and learning

International Journal of Educational Research Open
This paper aims to investigate person-to-person interactions in a hybrid classroom setting from a Community of Inquiry perspective. A typology of person-to-person interaction in hybrid learning environment is proposed.
Tai-ming Wut, Helen Shun-mun Wong, Carmen Ka-man Sum   +2 more
doaj   +1 more source

Deep Learning for Control of Light-Matter Interactions [PDF]

EPJ Web of Conferences, 2022
Mills Ben, Praeger Matthew, Xie Yunhui, McDonnell Michael, Courtier Alex, Grant-Jacob James, Zervas Michalis   +6 more
doaj   +1 more source

Robust Interactive Learning

, 2011
In this paper we propose and study a generalization of the standard active-learning model where a more general type of queries including class conditional queries and mistake queries are allowed. Such queries have been quite useful in applications, but have been lacking theoretical understanding.
Balcan, Maria-Florina, Hanneke, Steve
openaire   +2 more sources