Submission via Edas System

Keynote Speaker

Prof. Dr.-Ing. Habil. Dr. h.c. Herwig Unger

FernUniversität in Hagen, Germany

Topic: A brain-inspired approach to sequence learning

This talk offers insights into cutting-edge research at the Chai of Communication Networks at FernUniversität in Hagen, focusing on advancements in brain-inspired methods and the development of GraphLearner, a neuromorphic sequence analyser and generator. Beginning with a review of previous research, including text-representing centroids and a decentralized search engine, we highlight the significance of brain-inspired approaches despite the success of conventional deep learning techniques.

Collaborative Journals

All accepted papers with high quality presented at AJCC will be selected and recommended for possible publication in some international journals (either Scopus, or EI indexed journals, subject to meeting the journal indexing standard), after significant modifications/revisions/extensions and re-review. More Details

Contact Us:

General Chair: Assoc. Prof. Kraisak Kesorn
Email: ajcc.infor@gmail.com

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