Implementation and deployment of machine learning algorithm on edge devices
Implementation and deployment of machine learning algorithm on edge devices
Research Group Activity
| Applied Machine Learning |
Project Description
| The student will use a range of available edge machine learning devices such as ARM NVIDIA Jetson Xavier, NVIDIA Jetson Nano, JetBot AI Kits, Coral USB Accelerators to develop demonstrators of state-of -art machine learning algorithms. |
Student Level
Open to both undergraduate and postgraduate students
Location
This project can be completed remotely.
Skills you can learn from this project
| Through this project the student will develop: 1. A good understanding of state-of-art machine learning algorithms. 2. A fundamental understanding of machine learning algorithm implementations and deployment in real world scenarios as opposed to running them on simulators. 3. Good understand of integration of edge machine learning systems. |
Required Skills
| Intermediate / good Python programming skills. Knowledge of machine learning algorithms will be an added advantage but not essential. |
If you wish to apply for this project, fill in the form below including uploading your CV and personal statement, explaining why you want to do this particular internship project. Attachments must be in PDF format.
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