AIMC Topic:
Learning

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[The Future of Nursing Education: Necessary Elements and Implementation Strategies for Learning Artificial Intelligence].

Hu li za zhi The journal of nursing
As populations age, average life expectancy increases and the complexity of diseases rises, leading to nursing care and healthcare systems facing severe challenges related to inadequate resources. Artificial intelligence (AI), including elements such...

Lateral Connections Improve Generalizability of Learning in a Simple Neural Network.

Neural computation
To navigate the world around us, neural circuits rapidly adapt to their environment learning generalizable strategies to decode information. When modeling these learning strategies, network models find the optimal solution to satisfy one task conditi...

Assessing Learning of Computer Programing Skills in the Age of Generative Artificial Intelligence.

Journal of biomechanical engineering
Generative artificial intelligence (AI) tools such as ChatGPT, Bard, and Claude have recently become a concern in the delivery of engineering education. For courses focused on computer coding, such tools are capable for creating working computer code...

Fusion recognition of palmprint and palm vein based on modal correlation.

Mathematical biosciences and engineering : MBE
Biometric authentication prevents losses from identity misuse in the artificial intelligence (AI) era. The fusion method integrates palmprint and palm vein features, leveraging their stability and security and enhances counterfeiting prevention and o...

Hierarchical Label Distribution Learning for Disease Prediction.

Studies in health technology and informatics
The prediction of disease can facilitate early intervention, comprehensive diagnosis and treatment, thereby benefiting healthcare and reducing medical costs. While single class and multi-class learning methods have been applied for disease prediction...

Rule-Based Natural Language Processing Pipeline to Detect Medication-Related Named Entities: Insights for Transfer Learning.

Studies in health technology and informatics
We document the procedure and performance of a rule-based NLP system that, using transfer learning, automatically extracts essential named entities related to drug errors from Japanese free-text incident reports. Subsequently, we used the rule-based ...

Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator.

Chaos (Woodbury, N.Y.)
We propose a machine-learning approach to construct reduced-order models (ROMs) to predict the long-term out-of-sample dynamics of brain activity (and in general, high-dimensional time series), focusing mainly on task-dependent high-dimensional fMRI ...

[Reflections on the Design of English-Medium Instruction Courses in Nursing].

Hu li za zhi The journal of nursing
In line with the Taiwan government's 2030 bilingual national policy, nursing education must emphasize the importance of enhancing English proficiency, developing international competitiveness, and fostering global literacy. English is used as the med...