1 option
How developers can lower AI's climate impact : AI development can be a power-hungry process, but there are tactics for reducing energy use and carbon emissions / Sanjay Podder, Senthil Ramani, Shalabh Kumar Singh.
- Format:
- Book
- Author/Creator:
- Podder, Sanjay, author.
- Ramani, Senthil, author.
- Singh, Shalabh Kumar, author.
- Language:
- English
- Subjects (All):
- Artificial intelligence--Environmental aspects.
- Artificial intelligence.
- Physical Description:
- 1 online resource (5 pages)
- Edition:
- [First edition].
- Place of Publication:
- [Cambridge, Massachusetts] : MIT Sloan Management Review, [2024]
- Summary:
- AI development can consume large amounts of energy, leading to growing concerns about the climate impact of this emerging technology. The authors explain how tactics such as rethinking how much training data is required and reusing already-trained models can reduce energy consumption and lower the resulting carbon emissions from artificial intelligence initiatives.
- Notes:
- OCLC-licensed vendor bibliographic record.
- Reprint #65301.
- OCLC:
- 1423518229
- Publisher Number:
- 53863MIT65301
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.