Venue of Bench'19

2020 BenchCouncil International Symposium on Intelligent Computers

Qingdao, Shandong, China
June 29-30, 2020

Call for Papers


As integrated parts of the intelligent computers ecosystem, AI chips, systems, algorithms, and applications receive widespread attention from both academy and industry. BenchCouncil International Symposium on Intelligent Computers (IC 20) will be held in Qingdao, a beautiful seaside city in China from June 29 to June 30. The main theme of IC 20 is to build an intelligent computer ecosystem. IC 20 is a part of 2020 BenchCouncil Federated Intelligent Computing and Block Chain Conferences (FICC 2020), joint with Symposium on Block Chain (BChain 20), Symposium on Intelligent Medical Technology (MedTech 20), Symposium on Financial Technology (FinTech 20), and Symposium on Education Technology (EduTech 20). This conference organization retains the advantages of a smaller conference, while at the same time, facilitates communication, collaboration, and interplay among different disciplines.

Since its founding, BenchCouncil has two fundamental responsibilities. On one hand, it encourages data-driven, intelligence-inspired, and benchmark-based quantitative approaches to tackle multi-disciplinary challenges. On the other hand, BenchCouncil incubates benchmark projects and hosts the BenchCouncil benchmark projects, and further encourages reliable and reproducible research using the BenchCouncil benchmark projects or incubator benchmark projects. To that end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers related with those projects (each paper $100 prize, maximally up to 15 papers for IC 20).

We welcome the industry leaders as sponsors to provide the testbed and the honorariums for the above awards. In addition, we will invite influential speakers from around the world.


Specific topics of interest include, but are not limited to, the following.

  • Brain-inspired computing

  • Neuromorphic computing

  • Biological Quantum Computing

  • AI Chips and Open-source Chips

  • AI Systems

  • AI and Big Data for Sciences

  • AI algorithms and applications

  • HPC AI, deep learning algorithms and applications for scientific computing

  • Deep learning algorithms and applications for datacenter

  • AIoT & Intelligent Industrial Internet

  • AIOps

  • Benchmarking, Evaluation, and Optimization