Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. This is leading to a profoundly different way of thinking about your data, your technology, and the products and services you deliver.
Hence, 2017 International Conference on Deep Learning Technologies will be held during June 2-4, 2017, Chengdu, China, in order to provide a valuable opportunity for researchers ,scholars and scientists to exchange their ideas face to face in DLT.
The integration of DL techniques could interest researchers studying the following topic areas (among others):
Technologies
Caption generation
Cognitive architectures
Commonsense reasoning
Episodic reasoning
Intelligent agents (e.g., planning and acting, goal reasoning)
Machine learning (e.g., deep, reinforcement, statistical relational, transfer)
Model-based reasoning
Narrative intelligence
Temporal reasoning
Visual reasoning
Applications
Ambient intelligence
Autonomic computing
Biomedical systems
Computer games
Image processing (e.g., security/surveillance tasks)
Information retrieval and reuse
Intelligent tutoring systems
Language translation
Plan replay
Question-Answering
Reasoning from experiences mined from text, multimedia, or human interactions
Recommender systems
Robotics (e.g., control of autonomous vehicles)
Text reuse
User modeling
06月02日
2017
06月04日
2017
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