AIMC Topic: Problem Solving

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AI-induced hyper-learning in humans.

Current opinion in psychology
Humans evolved to learn from one another. Today, however, learning opportunities often emerge from interactions with AI systems. Here, we argue that learning from AI systems resembles learning from other humans, but may be faster and more efficient. ...

Study of a PST-trained voice-enabled artificial intelligence counselor for adults with emotional distress (SPEAC-2): Design and methods.

Contemporary clinical trials
BACKGROUND: Novel and scalable psychotherapies are urgently needed to address the depression and anxiety epidemic. Leveraging artificial intelligence (AI), a voice-based virtual coach named Lumen was developed to deliver problem solving treatment (PS...

A deep reinforcement learning algorithm framework for solving multi-objective traveling salesman problem based on feature transformation.

Neural networks : the official journal of the International Neural Network Society
As a special type of multi-objective combinatorial optimization problems (MOCOPs), the multi-objective traveling salesman problem (MOTSP) plays an important role in practical fields such as transportation and robot control. However, due to the comple...

Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment.

BMC medical informatics and decision making
BACKGROUND: Deep learning has demonstrated significant advancements across various domains. However, its implementation in specialized areas, such as medical settings, remains approached with caution. In these high-stake environments, understanding t...

Detection method of organic light-emitting diodes based on small sample deep learning.

PloS one
In order to solve the surface detection problems of low accuracy, low precision and inability to automate in the production process of late-model display panels, a little sample-based deep learning organic light-emitting diodes detection model SmartM...

Potential cognitive risks of generative transformer-based AI chatbots on higher order executive functions.

Neuropsychology
BACKGROUND: Chat generative retrained transformer (ChatGPT) represents a groundbreaking advancement in Artificial Intelligence (AI-chatbot) technology, utilizing transformer algorithms to enhance natural language processing and facilitating their use...

Solving olympiad geometry without human demonstrations.

Nature
Proving mathematical theorems at the olympiad level represents a notable milestone in human-level automated reasoning, owing to their reputed difficulty among the world's best talents in pre-university mathematics. Current machine-learning approaches...

Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study.

Journal of medical Internet research
BACKGROUND: The systematic review of clinical research papers is a labor-intensive and time-consuming process that often involves the screening of thousands of titles and abstracts. The accuracy and efficiency of this process are critical for the qua...

Assessment of the capacity of ChatGPT as a self-learning tool in medical pharmacology: a study using MCQs.

BMC medical education
BACKGROUND: ChatGPT is a large language model developed by OpenAI that exhibits a remarkable ability to simulate human speech. This investigation attempts to evaluate the potential of ChatGPT as a standalone self-learning tool, with specific attentio...