About

Bayesian Global AI Supercomputing Platform

Bayesian Decentralized Computing Network Protocol (BDCP) Rooted in California, USA, and Based on the Republic of El Salvador

Bayesian Foundation (Bayesian Foundation Ld.) is a non-profit foundation registered in EI Salvador. Its mission is to promote Bayesian ‘s technology research and development and product deployment and to create a new open and decentralized distributed computing ecosystem. The Bayesian Foundation aims to promote the development of Bayesian blockchain protocols and serverless technical solutions, and will strongly support the expansion of the Bayesian network ecosystem.

Main sponsors

Bayesian Institute (Mountain View, CA);CIAI Southern California Institute of Artificial Intelligence; many famous experts and professors of CIAI, 100+ PhDs in computer and AI artificial intelligence, 2000+ scholars in the field of supercomputing in Southe

Technical keyword

AI supercomputing, decentralized computing network protocol, distributed AI intelligent mechanism, probability, Exchangeability, Classification Real-Time Prediction, Recommendation System, Constructing Transfer Matrix, Value Transfer Timestamp.

Team

Amir Jaderzadeh

Superalgorithm engineer

Professor at University of Southern California

Postdoc at Harvard University

PhD in Computer Science，University of Strasbourg

An internationally recognized expert in big data，artificial intelligence and supercomputing systems，he has published dozens of professional papers.

Amir is a supercomputing algorithm engineer，mainly responsible for the research and development of distributed algorithms; at the same time，he is also the leader of the computer vision application team，leading the team to develop distributed applications for face recognition.

Ayden James

Senior AI Engineer

Master of Data science New York University

Bachelor of Computer science Columbia University

Passionate machine learning engineer with 13 years of experience in algorithms, computer vision and natural language processing. Proficient with machine learning libraries, such as PyTorch, Tensorflow, Keras, Caffe, NLTK, SpaCy, Scikit-learn and OpenCV.

Ayden leads the R&D team in the research and development of smart city projects, and is engaged in the image processing of traffic cameras and traffic management in the environment of decentralized computing centers.

Tim Rouse

Data Scientist

MS in Engineering，NORTH CAROLINA STATE UNIVERSITY

BS in Engineering, WEST VIRGINIA UNIVERSITY

Data Scientist and Engineer, developer of Artificial Intelligence (AI), Machine Learning (ML) and Python-based technologies, as well as system prototyping. Experience with Modeling and Simulation (M&S). Able and willing to quickly relocate as necessary.

Tim is mainly responsible for the realization of distributed natural language processing in the supercomputing center, including the optimization of various algorithms and the management of computing resource in a decentralized environment; at the same tim