Copyright © CoinSchedule Limited Contact Us Media Centre Legal Pricing About Us

MATRIX AI Network MAN

$0.111624 USD -1.63%
MATRIX AI Network has a TrustScore of D
0 following
Designed to be the new generation blockchain, MATRIX differentiates itself from previous blockchains by offering breakthrough technologies in building AI-enabled autonomous and self-optimizing blockchain networks.
  • Project TypeToken
  • Platform Ethereum
  • SymbolMAN
  • Circulating Supply150,000,000
  • Total SupplyNone specified
  • Max SupplyNone specified
  • Primary SectorMachine Learning & AI
  • JurisdictionNone specified
Share this project

Team

Steve Deng photo

Steve Deng

Chief AI Scientist

Prof. Deng is an associative professor at Tsinghua University, where he has been a faculty member since 2008. Prof. Deng received his Ph.D. degree from Carnegie Mellon University and completed his ME and BE studies at Tsinghua. Prior to Tsinghua, he worked at multiple leading industry companies like Magma Design Automation and NVIDIA. His research interests include machine learning, industry data analytics, and computer architecture. His work on deep learning based image detection was ranked #1 in many prestigious challenges (e.g. PASCAL VOC and COCO). Prof. Deng is the author/coauthor of over 50 papers. He is in charge of designing machine learning algorithms and hardware architectures for the MATRIX blockchain.

Bill Li photo

Bill Li

Chief Network Architect

Mr. Li is a leading expert of communication and IC design. He is a major contributor of many 4G, 4.5G(NB-IoT) and 5G standards of China. He was the chief architect of China’s first WiFi transceiver IC. As a Co-PI, he led the design of the dispatch communication system of China’s first aircraft carrier. His work on communication IC designs won numerous national awards. His book, Communication IC Design, was the best-selling textbook in this area and is used by many prestigious universities. He will lead the architecture design of the MATRIX blockchain.

Ethan Tian photo

Ethan Tian

Chief R & D Engineer

Mr. Tian received his BS degree from Peking University. Prior joining MATRIX, he was a Senior R&D Engineer of Microsoft, where he was responsible for developing several major software systems and computing platforms. He has extensive experiences in building blockchains and related tools. Mr. Tian will lead the software design and implementation of the MARTIX block chain.

Tim Shi photo

Tim Shi

Chief Hardware Scientist

Dr. Shi is a veteran of the semiconductor industry. Prior to joining MATRIX, he was a Principal System Architect of AMD and also responsible for the technology partnership of AMD with companies and universities in greater china. Before this position, he held various position at different leading internaional IC companies such as Synopsys and ARM. Dr. Shi was also with Samsung Semiconductor as a senior chip design engineer (based at Samsung’s headquarters in Korea). Dr. Shi received his Ph.D. degree from the Chinese Academy of Sciences in 2005.

Owen Tao photo

Owen Tao

CEO

Mr. Tao received the bachelor degree in the double-major (physics and economics) program of Peking University. Holding the CEO positions in several high-tech startup companies, he has rich experience in managing product development. He supervised the development of the 3D virtual community, China’s first embedded game advertising system and other Internet technology products. He also has strong skills in product operation and promotion. He led the development and operation of China’s first crossborder e-commerce platform, which attracted 20 million users around the world. As the CEO of MATRIX, Mr. Tao is responsible for strategic decision making and product positioning.

Distribution

None specified

Milestones

None specified

Questions and Answers

None specified
MATRIX AI Network has a TrustScore of D
  • Team Members Verified Badge 8 of 27 Team Members Verified
  • Company Verified Company Verified
  • KYC Interview Conducted KYC Interview Conducted
93%
Profile Quality
TrustScore™ is a Token Project scoring algorithm immune to manipulation.

Our proprietary TrustScore algorithm uses artificial intelligence machinery and combines dozens of data points including ID verification of every team member, company verification data, video interview with the project directors and dozens of additional data points offered by the projects such as social media profiles, white paper, questions and answers and many more to calculate the TrustScore.

A = Excellent
B = Good
C = Average
D = Below Average
E = Low
Complaints about this project?
Help us keep Coinschedule clear of scams, check our Takedown Procedure
No reports available for this project yet.
Add your insights
No official posts
The project team has
not claimed this area yet