AIMC Topic: Knowledge

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Grounded language acquisition through the eyes and ears of a single child.

Science (New York, N.Y.) Feb 1, 2024
Starting around 6 to 9 months of age, children begin acquiring their first words, linking spoken words to their visual counterparts. How much of this knowledge is learnable from sensory input with relatively generic learning mechanisms, and how much ...
Video Recording Knowledge Supervised Machine Learning Language Development Ear Eye Linguistics Humans Child Neural Networks, Computer
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CCL-DTI: contributing the contrastive loss in drug-target interaction prediction.

BMC bioinformatics Jan 30, 2024
BACKGROUND: The Drug-Target Interaction (DTI) prediction uses a drug molecule and a protein sequence as inputs to predict the binding affinity value. In recent years, deep learning-based models have gotten more attention. These methods have two modul...
Amino Acid Sequence Drug Interactions Machine Learning Entropy Knowledge
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Leader-follower formation control based on non-inertial frames for non-holonomic mobile robots.

PloS one Jan 29, 2024
A chain formation strategy based on mobile frames for a set of n differential drive mobile robots is presented. Considering two consecutive robots in the formation, robots Ri and Ri+1. It is intended that robot Ri+1 follows the delayed trajectory, τ ...
Knowledge Reading Frames Posture Robotics Policy
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A framework for quantifying individual and collective common sense.

Proceedings of the National Academy of Sciences of the United States of America Jan 16, 2024
The notion of common sense is invoked so frequently in contexts as diverse as everyday conversation, political debates, and evaluations of artificial intelligence that its meaning might be surmised to be unproblematic. Surprisingly, however, neither ...
Psychometrics Knowledge Artificial Intelligence Humans
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Usability and Recall Evaluation of Virtual Reality Ontology Object Manipulation (VROOM) System.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 11, 2024
Biomedical ontologies are repositories of knowledge that encapsulate biomedical terms and the relationships between them. When visualized, ontologies are complex graphs, where each node represents one biomedical concept, and links express binary rela...
Knowledge User-Computer Interface Humans Biological Ontologies
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Refining mutanome-based individualised immunotherapy of melanoma using artificial intelligence.

European journal of medical research Jan 5, 2024
Using the particular nature of melanoma mutanomes to develop medicines that activate the immune system against specific mutations is a game changer in immunotherapy individualisation. It offers a viable solution to the recent rise in resistance to ac...
Artificial Intelligence Melanoma Humans Mutation Knowledge Immunotherapy
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Optimizing dense feed-forward neural networks.

Neural networks : the official journal of the International Neural Network Society Dec 11, 2023
Deep learning models have been widely used during the last decade due to their outstanding learning and abstraction capacities. However, one of the main challenges any scientist has to face using deep learning models is to establish the network's arc...
Neural Networks, Computer Concept Formation Knowledge Climate Change
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The scientific value of explanation and prediction.

The Behavioral and brain sciences Dec 6, 2023
Deep neural network models have revived long-standing debates on the value of explanation versus prediction for advancing science. Bowers et al.'s critique will not make these models go away, but it is likely to prompt new work that seeks to reconcil...
Humans Knowledge Neural Networks, Computer
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Memristor-induced hyperchaos, multiscroll and extreme multistability in fractional-order HNN: Image encryption and FPGA implementation.

Neural networks : the official journal of the International Neural Network Society Dec 5, 2023
Fractional-order differentiation (FOD) can record information from the past, present, and future. Compared with integer-order systems, FOD systems have higher complexity and more accurate ability to describe the real world. In this paper, two types o...
Knowledge Entropy Diffusion Neural Networks, Computer Neurons
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Link prediction and feature relevance in knowledge networks: A machine learning approach.

PloS one Nov 30, 2023
We propose a supervised machine learning approach to predict partnership formation between universities. We focus on successful joint R&D projects funded by the Horizon 2020 programme in three research domains: Social Sciences and Humanities, Physica...
Humanities Knowledge Supervised Machine Learning Machine Learning
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