Advancements in green AI: a pathway to sustainability
In this paper, a survey of model compression and optimization techniques are evaluated on benchmarks of energy efficiency, memory footprint and accuracy on a task key to online safety, phishing. The three primary categories of compression explored are (1) Quantization, (2) Distillation and (3) Pruni...
Saved in:
Main Author: | Palanca Sebastian Gonzalo Miguel IV Puyat |
---|---|
Other Authors: | Dusit Niyato |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/181771 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Generative AI-based ChatGPT and AI chatbots for learning AI education
by: Chin, Woon Ping
Published: (2024) -
Towards a sustainable AI
by: Lugtu, Reynaldo C., Jr.
Published: (2024) -
AI-driven local parking availability prediction
by: Ma Yiheng
Published: (2024) -
Artificial intelligence(AI) for enhancing an intelligent sensor
by: Raj, Anju
Published: (2024) -
AI development for a personal robot system
by: Sebastian
Published: (2022)