View Proposal

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Proposer

Chengjia Wang

Title

Incremental and scalable machine learning systems

Goal

Extend existing code and experiment to state-of-the-art models

Description

A swarm of small AI models combined to form a LEGO-like model which can beat a large AI model in complicated computer vision or NLP task. More robust and flexible than conventional deep networks.

Resources

Starting code and report, literature reports

Background

Url

Difficulty Level

High

Ethical Approval

None

Number Of Students

3

Supervisor

Chengjia Wang

Keywords

machine learning, new deep learning models, multi-agent system

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Business Information Management
Master of Science in Computer Science for Cyber Security
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Information Technology (Software Systems)
Master of Science in Network Security
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics
Bachelor of Science in Computer Science (Cyber Security)
Master of Science in Robotics with Industrial Application
Bachelor of Science in Statistical Data Science
BSc Data Sciences