AIMC Topic: Intelligence

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Early Diagnosis of Retinal Blood Vessel Damage via Deep Learning-Powered Collective Intelligence Models.

Computational and mathematical methods in medicine
Early diagnosis of retinal diseases such as diabetic retinopathy has had the attention of many researchers. Deep learning through the introduction of convolutional neural networks has become a prominent solution for image-related tasks such as classi...

An Intelligent Fusion Model with Portfolio Selection and Machine Learning for Stock Market Prediction.

Computational intelligence and neuroscience
Developing reliable equity market models allows investors to make more informed decisions. A trading model can reduce the risks associated with investment and allow traders to choose the best-paying stocks. However, stock market analysis is complicat...

Design of Digital and Intelligent Financial Decision Support System Based on Artificial Intelligence.

Computational intelligence and neuroscience
The quality of financial decision-making is very important to the future development of an enterprise, but it is often affected by the completeness of useful information for decision-making and the subjective factors of decision makers, and is often ...

From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning.

Neural networks : the official journal of the International Neural Network Society
Deep learning has recently achieved best-in-class performance in several fields, including biomedical domains such as X-ray images. Yet, data scarcity poses a strict limit on training successful deep learning systems in many, if not most, biomedical ...

Human Intelligence Analysis through Perception of AI in Teaching and Learning.

Computational intelligence and neuroscience
Instructional practices have undergone a drastic change as a result of the development of new educational technology. Artificial intelligence (AI) as a teaching and learning technology will be examined in this theoretical review study. To enhance the...

The Intelligent Path Planning System of Agricultural Robot via Reinforcement Learning.

Sensors (Basel, Switzerland)
Agricultural robots are one of the important means to promote agricultural modernization and improve agricultural efficiency. With the development of artificial intelligence technology and the maturity of Internet of Things (IoT) technology, people p...

Towards artificial general intelligence via a multimodal foundation model.

Nature communications
The fundamental goal of artificial intelligence (AI) is to mimic the core cognitive activities of human. Despite tremendous success in the AI research, most of existing methods have only single-cognitive ability. To overcome this limitation and take ...

Research on Infant Health Diagnosis and Intelligence Development Based on Machine Learning and Health Information Statistics.

Frontiers in public health
Intelligent health diagnosis for young children aims at maintaining and promoting the healthy development of young children, aiming to make young children have a healthy state and provide a better future for their physical and mental health developme...

Twisting for soft intelligent autonomous robot in unstructured environments.

Proceedings of the National Academy of Sciences of the United States of America
Soft robots that can harvest energy from environmental resources for autonomous locomotion is highly desired; however, few are capable of adaptive navigation without human interventions. Here, we report twisting soft robots with embodied physical int...

Intelligent career planning via stochastic subsampling reinforcement learning.

Scientific reports
Career planning consists of a series of decisions that will significantly impact one's life. However, current recommendation systems have serious limitations, including the lack of effective artificial intelligence algorithms for long-term career pla...