2022 6th International Conference on Deep Learning Technologies (ICDLT 2022)

Conference / Summit (onsite)
Artificial Intelligence (AI) & Machine Learning (ML)

Address: Venue coming soon, Xi'an,China
Date: 26 to 28 Jul '22

Visit Event Website


Publication: 

The accepted paper will be included into ICDLT 2022 Conference Proceedings, which will be published in the International Conference Proceedings, which will be archived in Online Digital Library, and indexed by EI Compendex, Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science). 


Conference Schedule: 

July 26, 2022---Sign-in for ICDLT 2022 (Conference Material Collection) 

July 27, 2022 (Morning)---- Openning Remarks & Keynote Speech 

July 27, 2022 (Afternoon)---- Author Presentation 

July 28, 2022----- Author Presentation 


Contact: 

Ms. Gretchen Liu (Conference Secretary) 

E-mail: icdlt@young.ac.cn 

Tel: +86-28-86527868

2022 6th International Conference on Deep Learning Technologies will be held during July 26-28, 2022 in Xi'an, China. It's to provide a valuable opportunity for researchers, scholars and scientists to exchange their ideas face to face in Deep Learning Technologies.

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.

• Applications of Deep Learning in software.
• Applications of Deep Learning in hardware.
• Conceptual talks and cutting edge research on Deep Learning.
• Building businesses with Deep Learning at the core.

The integration of DL techniques could interest researchers studying the following topic areas (among others):

• Technologies
o Caption generation
o Cognitive architectures
o Commonsense reasoning
o Episodic reasoning
o Intelligent agents (e.g., planning and acting, goal reasoning)
o Machine learning (e.g., deep, reinforcement, statistical relational, transfer)
o Model-based reasoning
o Narrative intelligence
o Temporal reasoning
o Visual reasoning

• Applications
o Ambient intelligence
o Autonomic computing
o Biomedical systems
o Computer games
o Image processing (e.g., security/surveillance tasks)
o Information retrieval and reuse
o Intelligent tutoring systems
o Language translation
o Plan replay
o Question-Answering
o Reasoning from experiences mined from text, multimedia, or human interactions
o Recommender systems
o Robotics (e.g., control of autonomous vehicles)
o Text reuse
o User modeling

2022 6th International Conference on Deep Learning Technologies will be held during July 26-28, 2022 in Xi'an, China. It's to provide a valuable opportunity for researchers, scholars and scientists to exchange their ideas face to face in Deep Learning Technologies.

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.

• Applications of Deep Learning in software.
• Applications of Deep Learning in hardware.
• Conceptual talks and cutting edge research on Deep Learning.
• Building businesses with Deep Learning at the core.

The integration of DL techniques could interest researchers studying the following topic areas (among others):

• Technologies
o Caption generation
o Cognitive architectures
o Commonsense reasoning
o Episodic reasoning
o Intelligent agents (e.g., planning and acting, goal reasoning)
o Machine learning (e.g., deep, reinforcement, statistical relational, transfer)
o Model-based reasoning
o Narrative intelligence
o Temporal reasoning
o Visual reasoning

• Applications
o Ambient intelligence
o Autonomic computing
o Biomedical systems
o Computer games
o Image processing (e.g., security/surveillance tasks)
o Information retrieval and reuse
o Intelligent tutoring systems
o Language translation
o Plan replay
o Question-Answering
o Reasoning from experiences mined from text, multimedia, or human interactions
o Recommender systems
o Robotics (e.g., control of autonomous vehicles)
o Text reuse
o User modeling

IConf

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Venue

Venue coming soon

Organizer

YOUNG

Venue

Venue coming soon

Organizer

YOUNG

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