Journal of Experimental and Theoretical Artificial Intelligence
Deep Learning and Artificial Intelligence
摘要截稿:
全文截稿: 2018-05-15
影响因子: 2.039
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 4区
• 小类 : 计算机:人工智能 - 4区
Overview
The integration of deep learning and artificial intelligence has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. Deep learning and artificial intelligence are currently playing a vital role to deal with a massive amount of unsupervised data. Deep neural networks, such as deep belief network, deep auto-encoder and convolutional neural network have shown to be capable of extracting complex statistical features and efficiently learning their representations.
Deep learning and artificial intelligence are currently applied to wide variety of areas including computer vision, image classification, image forensics, video forensics, information fusion, speech recognition, big data analytics, text recognition, multimedia analytics, machine fault diagnosis, biomedical and health informatics, computer aided diagnosis of diseases etc. Deep learning and artificial intelligence can be treated as the most significant breakthrough over the past decade in the field of machine learning.
What can I contribute?
- Deep Learning for Big Data Analysis and Multimedia Retrieval
- Multimodal Deep Learning in Image and Computer Vision
- Deep Learning for Character and Text Recognition
- Multi-sensor and Feature Fusion using Deep Learning Models
- Deep Learning for Computer-Aided Diagnosis Systems
- Hardware Accelerators for Artificial Intelligence Algorithms
- Artificial Intelligence for Mobile Computing and Security
- Intelligent Vehicular Networking and Robotic Systems
- Heterogeneous Memory Systems Design for Artificial Intelligence
- Artificial Intelligence for Tele-Health and Wireless Sensor Networks