scispace - formally typeset
Search or ask a question

What are the current and emerging research topics in the field of artificial neural networks? 

Answers from top 9 papers

More filters
Papers (9)Insight
Evolved from the previous research on artificial neural networks, this technology has shown superior performance to other machine learning algorithms in areas such as image and voice recognition, natural language processing, among others.
Our approach has the potential to enable artificial neural networks to scale up beyond what is currently possible. Artificial neural networks are artificial intelligence computing methods which are inspired by biological neural networks.
An analysis of the current situation indicates that progress in the development of artificial neural network applications has largely stagnated.
Proceedings ArticleDOI
Manish Mishra, Monika Srivastava 
01 Aug 2014
115 Citations
In this paper also show that “what are neural networks” and “Why they are so important in today's Artificial intelligence?” Because various advances have been made in developing intelligent system, some inspired by biological neural networks.
The profound and far-reaching effect can be predicted with development of artificial neural networks research.
We believe it provides a good opportunity for reflection on current developments in neural network research and its applications and gives an impression of where the research in the included topics is headed.
The common theme of this paper is that artificial neural networks have proven to be an interesting and useful alternate processing strategy.
Our results can be applied to a variety of situations that arise both in the field of biological and artificial neural networks.

Related Questions

What are the current research trends in artificial intelligence?4 answersArtificial intelligence (AI) research trends include the use of advanced technologies in various domains such as smartphones, social media platforms, search engines, and autonomous vehicles. Nature-inspired techniques are being implemented in AI and the Internet of Things, with researchers analyzing global trends and conducting cluster analysis of related keywords. Current AI and machine learning techniques include Convolutional Neural Networks (CNN), Adversarial and Generative Techniques, Natural Language Processing (NLP), and Reinforcement Learning (RL). In the healthcare industry, AI is being used in reproductive endocrinology for embryo selection, predicting embryo development, improving infertility diagnosis, and laboratory quality control. The future direction of AI research involves addressing challenges and fully realizing the potential of these techniques.
What is current trend in AI research?5 answersArtificial intelligence (AI) research is currently focused on several key trends. One trend is the development and utilization of advanced technologies in various domains, such as smartphones, social media platforms, search engines, and autonomous vehicles. Another trend is the exploration of different AI techniques, including Convolutional Neural Networks (CNN), Adversarial and Generative Techniques, Natural Language Processing (NLP), and Reinforcement Learning (RL). Additionally, there is a growing interest in applying AI in the field of healthcare, particularly in developing applications for chronic diseases like Alzheimer's, diabetes, cardiovascular disease, and various types of cancers. Furthermore, AI research in the context of sports is gaining importance, with a focus on topics such as biomechanics, injury prevention or prediction, new algorithms, and learning approaches. Overall, the current trends in AI research involve the application of advanced technologies, exploration of different AI techniques, advancements in healthcare, and the use of AI in sports research.
What are some recent research papers in artificial intelligence?5 answersRecent research papers in artificial intelligence have focused on various topics. One study implemented unsupervised AI algorithms to discriminate between irradiated and non-irradiated Mexican sesame samples based on thermoluminescence response. Another paper analyzed the adoption rate and challenges of implementing an AI-based online education system in military colleges in the United Arab Emirates. A retrospective cross-sectional study investigated the prevalence of optic disc changes suspicious for glaucoma in diabetic patients using AI-based diabetic retinopathy screening. Additionally, a citation analysis of the knowledge map in the field of artificial intelligence identified research topics in basic theoretical research, method research, and application research. These papers highlight the practical application of AI algorithms in various domains, including agriculture, education, healthcare, and research.
What are some of the most important trends in artificial intelligence research?5 answersArtificial intelligence (AI) research has focused on several important trends. One trend is the use of AI algorithms to integrate chest computed tomography (CT) findings with clinical symptoms and laboratory testing for rapid diagnosis of COVID-19 patients. Another trend is the application of AI to the electrocardiogram (ECG) to identify asymptomatic left ventricular dysfunction (ALVD). Additionally, there has been research on the development of AI as a science and technology, with a focus on addressing problematic issues and achieving significant success in this field. Furthermore, the use of memristors in artificial neural networks has emerged as a promising trend in AI research, enabling strong parallel computing ability and efficient data processing for the replication of the human brain. These trends highlight the diverse applications and advancements in AI research.
What are the current research topics in AI?5 answersCurrent research topics in AI include computing along the axon, using pre-computed resources for solving computationally hard problems, considering objects "of matter" and "of anti-matter" in P systems, considering distance as a support of information. AI technologies in online distance education are being researched in areas such as online teaching and learning processes, algorithms for student behavior recognition and prediction, and adaptive and personalized learning. AI technologies in marketing are being examined at the country, company, and consumer levels, focusing on economic inequality, glocalization, and consumer ethics and privacy concerns. The main conceptual themes in AI research include deep learning, machine learning, and the internet of things. Research at the intersection of Human-Centered AI, Ethical, and Responsible AI emphasizes governance, fairness, and explainability, but should also consider privacy, security, and human flourishing.
What are some recent research papers on the topic of artificial intelligence?3 answersArtificial intelligence (AI) is a rapidly growing field of research. Recent papers have focused on various aspects of AI, including theoretical research, method research, and application research. One paper conducted a citation analysis on the knowledge map of AI and identified the main research topics. Another paper explored the applications of AI in power electronics and discussed future trends. These papers highlight the importance of AI in different industries and its potential for solving complex problems. The advancements in AI have been particularly notable in areas such as game playing and neural networks. Overall, these recent research papers contribute to our understanding of AI and its potential impact on various fields.