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Green AI: Making Machine Learning Environmentally Sustainable
Charles Humble
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YOW! Brisbane 2025
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After considering the significance of the carbon footprint of AI, Charles will offer practical strategies to reduce environmental impact at each stage of the AI lifecycle. These strategies include using smaller datasets, leveraging transfer learning, employing model compression techniques, and considering edge computing.
Transcript
After considering the significance of the carbon footprint of AI, Charles will offer practical strategies to reduce environmental impact at each stage of the AI lifecycle. These strategies include using smaller datasets, leveraging transfer learning, employing model compression techniques, and considering edge computing.
About the speakers
Freelance Techie, Podcaster, Editor, Author & Consultant