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Artificial Social Intelligence: A Comparative and Holistic View
In addition to a physical comprehension of the world, humans possess a high social intelligence—the intelligence that senses social events, infers the goals and intents of others, and facilitates social interaction. Notably, humans are distinguished from
Lifeng Fan +4 more
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PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology [PDF]
As advances in large language models (LLMs) and multimodal techniques continue to mature, the development of general-purpose multimodal large language models (MLLMs) has surged, offering significant applications in interpreting natural images.
Yuxuan Sun +11 more
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Artificial General Intelligence for Medical Imaging Analysis [PDF]
Large-scale Artificial General Intelligence (AGI) models, including Large Language Models (LLMs) such as ChatGPT/GPT-4, have achieved unprecedented success in a variety of general domain tasks.
Xiang Li +13 more
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Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges [PDF]
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrigue across scientific, commercial, and societal arenas.
Fei Dou +24 more
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Robot Arm Reaching Based on Inner Rehearsal
Robot arm motion control is a fundamental aspect of robot capabilities, with arm reaching ability serving as the foundation for complex arm manipulation tasks.
Jiawen Wang +5 more
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Deep learning classification of lung cancer histology using CT images
Tumor histology is an important predictor of therapeutic response and outcomes in lung cancer. Tissue sampling for pathologist review is the most reliable method for histology classification, however, recent advances in deep learning for medical image ...
Tafadzwa L. Chaunzwa +8 more
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Deep learning to estimate lung disease mortality from chest radiographs
Prevention and management of chronic lung diseases (asthma, lung cancer, etc.) are of great importance. While tests are available for reliable diagnosis, accurate identification of those who will develop severe morbidity/mortality is currently limited ...
Jakob Weiss +6 more
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Background Machine learning (ML) model is increasingly used to predict short-term outcome in critically ill patients, but the study for long-term outcome is sparse.
Ming-Cheng Chan +5 more
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Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining [PDF]
Medical artificial general intelligence (MAGI) enables one foundation model to solve different medical tasks, which is very practical in the medical domain.
Bingqian Lin +15 more
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Background China has empowered and continues to empower internet hospitals, which saw an increase in their development due to the pandemic, to fight against COVID-19.
Xuejiao Chen +6 more
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