Learning is central to both artificial intelligence and human intelligence, the former focused on understanding how machines learn, the latter concerned with how humans learn. With the growing relevance of comp
Mostow, J. and Bhatnagar, N. (1987) Failsafe: A floor planner that uses explanation-based learning to learn from its failures, inInternational Joint Conference on Artificial Intelligence, IJCAI'85, LA, pp. 249–255, Morgan Kaufmann. Mostow, D. J. (1983) Machine transformation of advice into...
Continual learning aims to empower artificial intelligence with strong adaptability to the real world. For this purpose, a desirable solution should properly balance memory stability with learning plasticity, and acquire sufficient compatibility to capture the observed distributions. Existing advances mainly ...
On the other hand, modern-era largely depends on Artificial Intelligence(AI) including Data Science; and Deep Learning(DL) is one of the current flag-bearer of these techniques. It could use to mitigate COVID-19 like pandemics in terms of stop spread, diagnosis of the disease, drug & ...
Artificial intelligence Machine learning Deep learning Advanced robotics 1. Introduction Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are all important technologies in the field of robotics [1]. The term artificial intelligence (AI) describes a machine's capacity to ...
This paper presents a comprehensive survey of these techniques, which can be used to address three main challenges in training DL models, namely small datasets, imbalanced datasets, and lack of generalization. To this end, we have formulated seven main questions that are addressed in this review....
A D 根据文章第一段“AI (artificial intelligence 人工智能) and machine learning refer to the ability of machines to learn and act intelligently. It means they can make decisions, finish tasks, and even tell the possible future results based on what they learn from data (数据).” 可知,人工智...
①AI (artificial intelligence人工智能) and machine learning refer to the ability of machines to learn and act intelligently. It means they can make decisions, finish tasks, and even tell the possible future results based on what they learn from dat a (数据).②AI and machine learning already ...
While some previous studies have investigated the potential of using retinal imaging and artificial intelligence (AI) techniques to assess conventional risk factors and to predict vascular risk including stroke26,27,28,29,30, our study was unique in at least four important aspects. First, we focuse...
the banking sector, especially toward the technological innovations done in the field of AI (Artificial Intelligence) and ML (Machine Learning) that have contributed to the growth of the sector as well towards the ease of doing and building trust amongst consumers in the digitalized era of ...