AIMC Topic: Knowledge

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Layerwised multimodal knowledge distillation for vision-language pretrained model.

Neural networks : the official journal of the International Neural Network Society Mar 26, 2024
The transformer-based model can simultaneously learn the representation for both images and text, providing excellent performance for multimodal applications. Practically, the large scale of parameters may hinder its deployment in resource-constraine...
Humans Neural Networks, Computer Language Knowledge
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DWSSA: Alleviating over-smoothness for deep Graph Neural Networks.

Neural networks : the official journal of the International Neural Network Society Mar 6, 2024
Graph Neural Networks (GNNs) have demonstrated great potential in achieving outstanding performance in various graph-related tasks, e.g., graph classification and link prediction. However, most of them suffer from the following issue: shallow network...
Knowledge Neural Networks, Computer Algorithms
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Artificial intelligence and illusions of understanding in scientific research.

Nature Mar 6, 2024
Scientists are enthusiastically imagining ways in which artificial intelligence (AI) tools might improve research. Why are AI tools so attractive and what are the risks of implementing them across the research pipeline? Here we develop a taxonomy of ...
Cognition Diffusion of Innovation Reproducibility of Results Humans Efficiency Artificial Intelligence Knowledge Research Personnel Research Design Risk Illusions
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Evaluation and estimation of compressive strength of concrete masonry prism using gradient boosting algorithm.

PloS one Mar 5, 2024
The compressive strength (CS) of the hollow concrete masonry prism is known as an important parameter for designing masonry structures. In general, the CS is determined using laboratory tests, however, laboratory tests are time-consuming and high-cos...
Knowledge Neural Networks, Computer Algorithms Compressive Strength Databases, Factual
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Knowledge, Perceptions and Attitude of Researchers Towards Using ChatGPT in Research.

Journal of medical systems Feb 27, 2024
INTRODUCTION: ChatGPT, a recently released chatbot from OpenAI, has found applications in various aspects of life, including academic research. This study investigated the knowledge, perceptions, and attitudes of researchers towards using ChatGPT and...
Artificial Intelligence Data Analysis Knowledge Software Language Female Humans Male
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Decoding dietary myths: The role of ChatGPT in modern nutrition.

Clinical nutrition ESPEN Feb 23, 2024
In today's world, where nutrition forms the cornerstone of human health, the potential harms of misinformation are concerning. Nutritional myths, whether originating from age-old superstitions, misinterpreted scientific findings, or commercial intere...
Artificial Intelligence Knowledge Diet Nutritional Status Humans
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Robotic surgery: public perceptions and current misconceptions.

Journal of robotic surgery Feb 22, 2024
Whilst surgeons and robotic companies are key stakeholders involved in the adoption of robotic assisted surgery (RS), the public's role is overlooked. However, given that patients hold ultimate power over their healthcare decisions, public acceptance...
Knowledge Public Opinion Adult Surgeons Humans Robotics Robotic Surgical Procedures
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Interpretable deep learning methods for multiview learning.

BMC bioinformatics Feb 14, 2024
BACKGROUND: Technological advances have enabled the generation of unique and complementary types of data or views (e.g. genomics, proteomics, metabolomics) and opened up a new era in multiview learning research with the potential to lead to new biome...
Genomics Cluster Analysis Metabolomics Knowledge Deep Learning
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Review of robotic surgery platforms and end effectors.

Journal of robotic surgery Feb 13, 2024
In the last 50 years, the number of companies producing automated devices for surgical operations has grown extensively. The population started to be more confident about the technology capabilities. The first patents related to surgical robotics are...
Robotic Surgical Procedures Knowledge Humans Robotics Gynecology Oral Surgical Procedures
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Bayesian hypernetwork collaborates with time-difference evolutional network for temporal knowledge prediction.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2024
A Temporal Knowledge Graph (TKG) is a sequence of Knowledge Graphs (KGs) attached with time information, in which each KG contains the facts that co-occur at the same timestamp. Temporal knowledge prediction (TKP) aims to predict future events given ...
Bayes Theorem Knowledge Algorithms Time Factors Humans Uncertainty Neural Networks, Computer
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